bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Agonistic Activity of the Human Epidermal Growth Factor is Reduced by the D46G Substitution
Authors: Akunevich Anastasia Aleksandrovna , Khrustalev Vladislav Victorovich , Khrustaleva Tatyana Aleksandrovna , Yermalovich Marina Anatolyevna 
Published: July 2024

Background:
Resistance to anti-tumor agents targeting the epidermal growth factor receptor
(EGFR) reduces treatment response and requires the development of novel EGFR antagonists.
Mutant epidermal growth factor (EGF) forms with reduced agonistic activity could be promising
agents in cancer treatment.

Methods:
EGF D46G affinity to EGFR domain III was assessed with affinity chromatography.
EGF D46G acute toxicity in Af albino mice at 320 and 3200 μg/kg subcutaneous doses was evaluated.
EGF D46G activity in human epidermoid carcinoma cells at 10 ng/mL concentration in
serum-free medium and in subcutaneous Ehrlich ascites carcinoma mice model at 320 μg/kg dose
was studied.

Results:
The D46G substitution decreases the thermal stability of EGF complexes with EGFR domain
III by decreasing the ability of the C-terminus to be released from the intermolecular β-
sheet. However, with remaining binding sites for EGFR domain I, EGF D46G effectively competes
with other EGF-like growth factors for binding to EGFR and does not demonstrate toxic effects
in mice. EGF D46G inhibits the proliferation of human epidermoid carcinoma cells compared
to native EGF. A single subcutaneous administration of EGF D46G along with Ehrlich carcinoma
cells injection inhibits the proliferation of these cells and delays tumor formation for up to
seven days.

Conclusion:
EGF D46G can be defined as a partial EGFR agonist as this mutant form demonstrates
reduced agonistic activity compared to native EGF. The study emphasizes the role of the
EGF C-terminus in establishing interactions with EGFR domain III, which are necessary for
EGFR activation and subsequent proliferation of cells.
The GA-Hecate Peptide inhibits the ZIKV Replicative Cycle in Different Steps and can Inhibit the Flavivirus NS2B-NS3 Protease after Cell Infection
Authors: da Silva Sanches Paulo Ricardo , de Campos Faria João Caldana Elias , Bittar Cíntia , Guberovich Olivieri Hugo Alexandre Siqueira , de Moraes Roso Mesquita Nathalya Cristina , Noske Gabriela Dias , de Godoy Andre Schutzer , Oliva Glaucius , Rahal Paula , Cilli Eduardo Maffud 
Published: July 2024

Background:
Peptide drugs are advantageous because they are subject to rational design
and exhibit highly diverse structures and broad biological activities. The NS2B-NS3 protein
is a particularly promising flavivirus therapeutic target, with extensive research on the development
of inhibitors as therapeutic candidates, and was used as a model in this work to determine
the mechanism by which GA-Hecate inhibits ZIKV replication.

Objective:
The present study aimed to evaluate the potential of GA-Hecate, a new antiviral developed
by our group, against the Brazilian Zika virus and to evaluate the mechanism of action of
this compound on the flavivirus NS2B-NS3 protein.

Methods:
Solid-phase peptide Synthesis, High-Performance Liquid Chromatography, and Mass
Spectrometry were used to obtain, purify, and characterize the synthesized compound. Real-time
and enzymatic assays were used to determine the antiviral potential of GA-Hecate against ZIKV.

Results:
The RT-qPCR results showed that GA-Hecate decreased the number of ZIKV RNA
copies in the virucidal, pre-treatment, and post-entry assays, with 5- to 6-fold fewer RNA copies
at the higher nontoxic concentration in Vero cells (HNTC: 10 μM) than in the control cells. Enzymatic
and kinetic assays indicated that GA-Hecate acts as a competitive ZIKV NS2B-NS3 protease
inhibitor with an IC50 of 32 nM and has activity against the yellow fever virus protease.

Conclusion:
The results highlight the antiviral potential of the GA-Hecate bioconjugate and open
the door for the development of new antivirals.
Doxorubicin-induced Immunogenic Cell Death Impairs Tumor Progression and Distant Metastasis in a 4T1 Breast Cancer Tumor Model
Authors: Cardador Camila Magalhães , de Castro Thaís Bergmann , de Castro Raffael Júnio Araújo , Bocca Anamélia Lorenzetti , Camargo Luana Cristina , Pacheco Thyago Arruda , Muehlmann Luís Alexandre , Longo João Paulo Figueiró 
Published: July 2024

Introduction:
Cancer is an individual disease and its formation and development are specific to
each host. Conventional treatments are ineffective in complex cases, such as metastasis, and have severe adverse
side effects. New strategies are needed to address the problem, and the use of immunogenic cell death
(ICD) as a trigger or booster of the immune system through the exposure of damage-associated molecular patterns,
along with tumor antigens, by cancerous cells is presented as an immunization approach in this work.

Methods:
For this purpose, 4T1 cells were exposed to doxorubicin (DOX) for 24 hours and then, these cells
undergoing ICD were subcutaneously administered to mice. The ICD induction by DOX on 4T1 was assessed
by flow cytometry and image analysis. This immunization process was performed three times and after the last
administration, the immunized mice were challenged with a subcutaneous xenograft of live cancer cells.

Results:
The results demonstrate that the mice immunized with cells undergoing ICD after exposure to DOX
presented no primary tumor or indications of distant metastatic lesion development.

Conclusion:
In summary, our findings indicate that the immunization process utilizing ICD is indeed efficacious
in managing this aggressive form of pre-clinical breast cancer.
HRAS Induces Ferroptosis through Upregulating HSPB1 in Hepatocellular
Carcinoma
Authors: Chen Wei , Zhang Xiang , Zhang Bin , Chi Minhui , Zheng Qi 
Published: July 2024

Background:
The aim of this study is to explore the mechanism of HRAS and
HSPB1 in ferroptosis. Primary liver cancer is the third leading cause of tumor death worldwide.
Hepatocellular carcinoma (HCC) constitutes 75%-85% of cases of primary liver cancer. HRAS
and HSPB1 co-express in multiple cells and participate in tumor progression regulation. However, their expression regulation and role in HCC have not been reported.

Methods:
We investigated the effects of HRAS and HSPB1 on ferroptosis in in vitro experiments. Here, the role and mechanism of HRAS and HSPB1 on ferroptosis were investigated by
transfecting the specific siRNA or overexpressing plasmids in HCC cells.

Results:
Bioinformatics analysis proved that HRAS and HSPB1 were highly expressed in HCC
tissues and associated with poor prognosis of patients with HCC. In vitro, HRAS overexpression reduced the level of intracellular iron, ROS, and MDA production in HCC cells. Mechanistically, HRAS increased GPX4 expression and decreased the levels of ACSL4 and P53. HRAS
also increased HSPB1 expression, and HRAS knockdown downregulated HSPB1 levels in HCC
cells. Importantly, overexpression of HSPB1 reversed HRAS-increased concentration of iron,
MDA, and ROS and eliminated HRAS-induced ferroptosis. Moreover, HRAS enhanced the proliferation and invasion by targeting HSPB1.

Conclusion:
The regulation of HSPB1 by HRAS enhanced the resistance of HCC cells to ferroptosis. HRAS promoted proliferation and invasion by upregulating HSPB1. This research
provides a new potential strategy for HCC treatment.
Effects of Short-Term Creatine Nitrate Plus Creatinine Intake on Creatine Pharmacokinetics and Safety Biomarkers in Healthy Adults
Authors: Ostojic Sergej M. , Stajer Valdemar , Todorovic Nikola , Ranisavljev Marijana , Andjelic Bogdan , Panic Jovana , Nikolaidis Alexandros , Kramer Ron , Vranes Milan 
Published: July 2024

Background:
A blend of creatine nitrate and creatinine has demonstrated promising
bioavailability; however, prior studies have not thoroughly examined its pharmacokinetics and
safety profiles, particularly its impact on kidney stress indicators, such as serum cystatin C.

Objective:
This study aimed to assess the effects of varying doses of creatine nitrate-creatinine intervention
on pharmacokinetics and safety in healthy humans.

Methods:
Ten young adults (mean age 26.1 ± 5.0 years; 5 females) volunteered for this double-
blind, crossover, randomized controlled trial. The participants were randomly assigned to receive
either a low-dose creatine nitrate-creatinine mixture (CN-CRN-Low; 1.5 g of creatine nitrate
and 1.5 g of creatinine), a high-dose creatine nitrate-creatinine mixture (CN-CRN-High; 3 g of creatine
nitrate and 3 g of creatinine), or 1.5 g of creatine nitrate (CONTROL) in both a single-dose
pharmacokinetics experiment, and a 14-day safety trial.

Results:
Both CN-CRN-Low and CN-CRN-High interventions displayed increased volume of distribution
and total clearance compared to the CONTROL intervention (P < 0.05) in a single-dose
pharmacokinetics experiment. Additionally, the CN-CRN-High intervention showed significantly
higher creatine maximum serum concentrations compared to the other interventions (P < 0.05).
Serum cystatin C levels remained unchanged across all interventions (P = 0.65), with no participants
experiencing abnormal cystatin C concentrations or major changes in other safety biomarkers.

Conclusion:
The present study demonstrates dose-specific utilization of creatine nitrate-creatinine
intervention, with the mixture induced no kidney damage. Further studies are needed to explore
the potential functional and performance benefits of creatine nitrate-creatinine supplementation in
diverse clinical and athletic cohorts.
Determination of Chlorogenic Acid in Solid-lipid Nanoparticles: Validation by UV-spectroscopy
Authors: Rana Tarapati , Goyal Anju , Behl Tapan 
Published: July 2024

Objective:
The objective of the research was the development and validation of a simple,
sensitive, accurate, robust, and precise UV-spectroscopic method for the quantitative determination
of chlorogenic acid loaded in solid-lipid nanoparticles as per the guidelines of the International
Conference on Harmonization.

Methods:
The solid-lipid nanoparticles of chlorogenic acid were prepared using the hot melt emulsification
method and the high-speed homogenizer method. Glyceryl monostearate was used as a
solid lipid, and Tween 80 was used as a surfactant for the preparation of chlorogenic acid-loaded
solid lipid nanoparticles. The method was validated in terms of linearity, accuracy, precision, robustness,
ruggedness, limit of detection, and limit of quantification.

Results:
The chlorogenic acid exhibited absorption maxima at the wavelength of 330 nm. The regression
equation from the calibration curve was y=0.006x + 0.0193 with a correlation coefficient
of 0.9989. The percentage recovery was found to be 99.92, 99.80, and 99.86, respectively (within
the acceptable limit of 98-102%), which validated the accuracy of the method. Furthermore, the
method exhibited precision, robustness, and ruggedness, as illustrated by a relative standard deviation
(RSD) of less than 2%. The limit of detection and limit of quantification were found to be
6.97 and 21.13 μg/ml, respectively.

Conclusion:
It was concluded that the proposed spectrophotometer analytical method for the determination
of Chlorogenic acid was found reliable, accurate, consistent, precise, accurate, and robust.
Therefore, the proposed analytical technique could be an integral part of further evaluation
and characterization of Chlorogenic acid-solid lipid nanoparticles.
The Antihypertensive Potential of Aqueous extract of Peristrophe Bivalvis (L.) Merr. is via Up-regulation of Cyclic Guanosine Monophosphate and Down-regulation of the Renin-angiotensin System
Authors: Aluko Esther Oluwasola , David Ubong Edem , Ojetola Abodunrin Adebayo , Fasanmade Adesoji Adedipe 
Published: July 2024

Background:
Hypertension is a major risk factor for cardiovascular diseases. Peristrophe
bivalvis (PB) is used for the treatment of hypertension, painful sprains, skin diseases, tuberculosis,
acute bronchitis, anti-inflammatory conditions, hepatitis, and diabetes. Its antihypertensive
potential has been investigated and documented. This study investigated the antihypertensive
mechanism of aqueous extract of PB leaf (APB) on L-NAME-induced hypertension.

Methods:
Thirty male wistar rats (150-170 g) were grouped into five (n=5). Group 1 received 10
mL/kg of distilled water (control), while groups 2-5 were administered 60 mg/kg of L-NAME
(L-NAME60) orally for eight weeks to induce hypertension. After eight weeks, groups 2-5 received
L-NAME60+distilled water (HNT), distilled water (HRE), L-NAME60+APB (200 mg/kg,
[HAPB]), and L-NAME60+ramipril (10 mg/kg, [HRA]), respectively, for five weeks. The BP
was measured by the tail-cuff method. The blood sample was obtained under anesthesia, and tissue
samples were obtained after euthanasia. Serum renin, ACE, angiotensin-II, endothelin-1, and
cyclic guanosine monophosphate (cGMP) levels were measured using ELISA techniques. Malondialdehyde,
superoxide dismutase (SOD), and reduced glutathione (GSH) levels were measured
by spectrophotometry. Data were analyzed using ANOVA at α0.05.

Results:
The BP significantly decreased in HAPB compared to HNT. Renin, ACE, and angiotensin-
II levels significantly decreased while cGMP levels increased in the HAPB group compared to
HNT. Malondialdehyde levels significantly decreased, and SOD and GSH levels increased compared
to HNT.

Conclusion:
Peristrophe bivalvis aqueous leaf extract reduced blood pressure in hypertensive rats
by modulating the cGMP signalling pathway and the renin-angiotensin system.
Circumventing Cardiovascular Calamities: The Dawn of ANGPTL3 Blockade in Severe Dyslipidemia Management
Authors: Namitokov Alim , Karabakhtsieva Karina 
Published: July 2024

:
The landscape of severe dyslipidemia treatment is undergoing a remarkable transformation
with the advent of angiopoietin-like 3 (ANGPTL3) inhibitors. ANGPTL3, a pivotal regulator
of lipoprotein lipase and endothelial lipase, orchestrates the catabolism of triglyceride-rich and
high-density lipoproteins, thus playing a critical role in lipid homeostasis. This review article examines
the therapeutic potential of ANGPTL3 blockade and its implications for patients with severe
dyslipidemias, particularly those unresponsive to traditional lipid-lowering regimens. We
delve into the molecular mechanisms by which ANGPTL3 influences lipid metabolism and appraise
the clinical utility of emerging therapeutics, such as monoclonal antibodies and antisense
oligonucleotides. Moreover, we discuss the impact of ANGPTL3 inhibition on cardiovascular risk
factors and project its promising role in reducing cardiovascular morbidity and mortality. The narrative
synthesizes data from recent clinical trials, including the efficacy and safety profiles of
ANGPTL3 inhibitors, and forecasts the potential of these agents to revolutionize the management
of dyslipidemic conditions. The advent of ANGPTL3-targeted therapies signifies a potential breakthrough
in the therapeutic armamentarium against complex lipid disorders, heralding a new era of
precision medicine in cardiovascular risk mitigation.
RBM3 Inhibits the Cell Cycle of Cutaneous Squamous Cell Carcinoma through the PI3K/AKT Signaling Pathway
Authors: Huang Yan , Sun Weichao , Zhu Danli , Liu Li , Feng Jianguo , Yi Qian 
Published: July 2024

Background:
RBM3 is a key RNA-binding protein that has been implicated in various cellular processes, including cell proliferation and cell cycle regulation.
However, its role in cutaneous squamous cell carcinoma (cSCC) remains poorly understood.

Aims:
We aimed to investigate the expression levels of RNA-binding motif protein 3 (RBM3) in patients with cSCC and evaluate its effect on cell ability
in cSCC and its underlying regulatory mechanisms.

Methods:
The expression of RBM3 in cSCC tissues and A431 cells was determined via immunohistochemistry and western blotting. Plenti-CMV-RBM3-
Puro was used to overexpress RBM3. The effect of RBM3 on the proliferation ability of cSCC cells was evaluated using MTT and colony
formation assay. Cell apoptosis and cell cycle were determined using flow cytometry, while the protein expressions of BAX, NF-κB, BCL2,
CASPASE 3, CYCLIN B, CYCLIN E, CDK1, phosphorylated (P)-CDK1, CDK2, P-CDK2, ERK, P-ERK, P-AMPK, AKT, P-AKT, MDM2, and
P53 were assessed using western blotting.

Results:
RBM3 expression was significantly downregulated in cSCC tissues and A431 cells. RBM3 overexpression significantly inhibited the cell
proliferation and colony formation ability of A431. Notably, RNA-seq results showed that the differentially expressed genes associated with
RBM3 were primarily involved in the regulation of the cell cycle, oocyte meiosis, and P53 signaling pathway, as well as the modulation of the
MAPK, AMPK, Hippo, mTOR, PI3K/AKT, Wnt, FoxO, and NF-κB signaling pathways. Additionally, our findings demonstrated that
overexpression of RBM3 inhibited cell proliferation and induced cell cycle arrest of cSCC through modulation of the PI3K/AKT signaling
pathway.

Conclusion:
This study provides novel insights into the suppressive roles of RBM3 in cell proliferation and the cell cycle in cSCC and highlights its therapeutic
potential for cSCC.
Superhydrophobic Stainless Steel Mesh through Chemical Vapour Deposition of TMCS for Effective Oil-Water Separation
Authors: Latthe Sanjay , Jundle Akshay , Yadav Prashant , Patil Chandrakant , Mote Uttam , Sutar Rajaram , Liu Shanhu 
Published: July 2024

Aim:
To Fabricate the superhydrophobic Stainless Steel (SS) mesh using Trimethylchlorosilane (TMCS) through a Chemical Vapor Deposition (CVD)
method for the oil-water mixture separation

Background:
The frequent oil spills have a devastating impact on marine ecosystems and the environment. The porous materials with superhydrophobic
properties have been created to separate oil and water effectively. Due to their ability to effectively separate oil and water, superhydrophobic
coatings have gained significant attention.

Methods:
The cleaned stainless-steel mesh was put on a stand and covered with a glass container. Within the container, 50 mL of hexane, which contained 1
mL of TMCS, was added. The mesh was then left for 3 h to undergo the CVD process

Results:
The silane content with low surface energy creates a highly rough structure on the mesh surface. The optimal mesh coating is superhydrophobic,
having a strong affinity to oil and a water contact angle of 162 ± 2°. The coated mesh has shown a separation efficiency of over 97.8% for different
oil-water mixtures. The coatings sustain their superhydrophobicity up to 30 tape peels and 40 times sandpaper abrasion, indicating good
mechanical durability.

Conclusion:
The study concludes that the S-3 sample is mechanically stable and can withstand various tests such as adhesive tape peeling, sandpaper abrasion,
bending, folding, and twisting. It efficiently separates oil and water mixtures on a large scale with high efficacy
Non-orthogonal Multiple Access (NOMA) Channel Estimation for Mobile & PLC-VLC Based Broadband Communication System
Authors: Sarkar Manidipa , Nayak Ankit , Nanda Sarita , Patnaik Suprava 
Published: July 2024

Background:
The paper focuses on enhancing the performance of 5G wireless mobile
communication systems. Furthermore, it addresses the increasing demand for high data rates, improved channel capacity, and spectrum efficiency outlined by the 3rd Generation Partnership Project (3GPP) protocol.

Objective:
To develop an innovative Non-Orthogonal Multiple Access (NOMA)-based channel estimation (CE) model aimed at improving the performance of 5G wireless mobile communication
systems

Methods:
A proportionate recursive least squares (PRLS) algorithm is utilized for estimating the
characteristics of practical Rayleigh fading channels. The applicability of the PRLS algorithm is investigated in Lambertian channels for indoor broadband communication systems such as power line
communication (PLC) and visual light communication (VLC) systems.

Results:
The assessment of evaluation metrics, including mean square error (MSE), bit error rate
(BER), spectral efficiency (SE), energy efficiency (EE), capacity, and data rate, have been analysed. Faster convergence and higher accuracy compared to existing state-of-the-art approaches
have been demonstrated.

Conclusion:
The NOMA-based channel estimation model presents significant promise in enhancing the performance of 5G wireless communication systems. The demands for higher data rates and
improved spectral efficiency as per 3GPP standards have been addressed.
Unveiling Data Fairness Functional Requirements in Big Data Analytics Through Data Mapping and Classification Analysis
Authors: Hemalatha Palanimanickam , Lavanya Jayaraman 
Published: July 2024

Aims:
In the realm of Big Data Analytics, ensuring the fairness of data-driven decisionmaking processes is imperative. This abstract introduces the Learning Embedded Fairness Interpretation (LEFI) Model, a novel approach designed to uncover and address data fairness functional requirements with an exceptional accuracy rate of 97%. The model harnesses advanced data mapping
and classification analysis techniques, employing Explainable-AI (xAI) for transparent insights into fairness within large datasets

Methods:
The LEFI Model excels in navigating diverse datasets by mapping data elements to discern patterns contributing to biases. Through systematic classification analysis, LEFI identifies potential sources of unfairness, achieving an accuracy rate of 97% in discerning and addressing these
issues. This high accuracy empowers data analysts and stakeholders with confidence in the model's
assessments, facilitating informed and reliable decision-making. Crucially, the LEFI Model's implementation in Python leverages the power of this versatile programming language. The Python
implementation seamlessly integrates advanced mapping, classification analysis, and xAI to provide a robust and efficient solution for achieving data fairness in Big Data Analytics.

Results:
This implementation ensures accessibility and ease of adoption for organizations aiming
to embed fairness into their data-driven processes. The LEFI Model, with its 97% accuracy, exemplifies a comprehensive solution for data fairness in Big Data Analytics. Moreover, by combining
advanced technologies and implementing them in Python, LEFI stands as a reliable framework for
organizations committed to ethical data usage.

Conclusion:
The model not only contributes to the ongoing dialogue on fairness but also sets a
new standard for accuracy and transparency in the analytics pipeline, advocating for a more equitable future in the realm of Big Data Analytics.