bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evolution of the CDK4/6 inhibitor abemaciclib: from palliative to adjuvant therapy. Clinical experience with abemaciclib in patients with hormone-receptor-positive, HER2-negative breast cancer
Authors: Goryainova A. Yu. , Stukan A. I. , Murashko R. A. , Sharov S. V. , Lymar E. V. 
Published: June 2022

Introduction. Cyclin-dependent kinase 4/6 inhibitors are indicated in endocrine therapy for the treatment of hormone receptorpositive, HER2-negative, advanced, or metastatic breast cancer. In the recent past, abemaciclib made its debut as a combinatorial partner for adjuvant therapy in hormone-dependent breast cancer. This article demonstrates the analysis of our own experience of introducing abemaciclib into clinical practice.Aim. The aim of the study was to evaluate the preliminary results of treatment of patients with hormone receptor-positive HER2-negative metastatic breast cancer using abemaciclib outside the framework of clinical trials, in the real clinical practice of an oncological dispensary.Materials and methods. A retrospective analysis of the results of treatment was carried out in 27 patients who were prescribed abe-maciclib in various regimens and lines from April 2021 to January 2022 in the conditions of routine practice in the Krasnodar region.Results and discussion. Analysis of the total population of 27 patients at a median follow-up of 8 months showed that the median PFS was not reached. The one-year PFS was 68.8%. Treatment outcomes were independent of prescribing abemaciclib to treat baseline metastatic disease or breast cancer progression after previous radical treatment (p = 0.60). The PFS did not depend on the expression of progesterone receptors in the tumor tissue (p = 0.326) and the proliferative activity index Ki-67 (p = 0.618). Patients who received no more than 2 lines of previous drug treatment for a history of metastatic breast cancer had the greatest benefit from abemaciclib therapy (p = 0.001).Conclusions. Despite a relatively difficult group of patients (96% of patients with visceral metastases), abemaciclib has demonstrated efficacy and safety. The effectiveness did not depend on the analyzed factors: Ki-67, the level of expression of progesterone receptors, the type of metastatic disease (de novo metastatic or progressive breast cancer). In view of the best results, it is advisable to prescribe abemaciclib in the early lines of therapy.
Sustainable development of climate-resilient aquaculture and culture-based fisheries through adaptation of abiotic stresses: a review
Authors: Abisha R. , Krishnani Kishore Kumar , Sukhdhane Kapil , Verma A. K. , Brahmane Manoj , Chadha N. K. 
Published: June 2022

Abstract
Climate change is an inevitable event that obstructs the output of aquaculture farms and culture-based fisheries in open waters. It poses a serious threat to global food security, altering biodiversity, ecosystems, and global fish output by displacing fish stocks from their natural habitats. When compared to freshwater aquaculture, marine/coastal aquaculture is more affected. To combat the effects of climate change, several mitigation methods and adaptations are being implemented, emphasizing future demands of affordable protein. Selective breeding, species diversification, and aquaculture systems like integrated multi-trophic aquaculture, aquaponics, and recirculating aquaculture system are some of the most widely accepted and adapted solutions. Further research on intervention in seed and feed in terms of quality improvement, bioresource utilization, and technological and genetic improvement is required. Climate change policies from the government are also essential. The present study differs from previous reviews by portraying the various abiotic stress factors contributing to the drastic climate change, encompassing adaptation strategies followed in distinct aquaculture sources such as freshwater, inland saline water, brackish water, coastal waters, and culture-based capture fisheries with its future implications.
Comparison of Serum Folate between Schizophrenic Patients and Healthy
Controls in Chinese Han Adult Population: A Systematic Review and
Meta-Analysis
Authors: Liu Dian-Wu , Wang Dan , Zhai Jun-Xia 
Published: June 2022

Aim and Objective:
To assess the relationship between serum folate and schizophrenia
(SZ) risk in the Chinese Han adult population in different papers, a systematic review and metaanalysis
were conducted.

Materials and Methods:
We searched for this meta-analysis on three English databases (PubMed,
Embase, and Web of science) and four Chinese databases (CNKI, SinoMed, Wanfang, and
CQVIP) on March 27, 2021. Inclusion criteria: studies provided folate levels in serum of cases and
controls as mean and standard deviation. Exclusion criteria: subjects were not Chinese Han adult
population. The Newcastle-Ottawa Scale score was used to assess the risk of bias in the included
studies. Standard mean difference (SMD) was used to measure the difference between SZ patients
and healthy controls. Subgroup analyses by measurement time, duration, and age were performed,
respectively.

Results:
This meta-analysis included 19 publications involving 1571 SZ cases and 1283 healthy
controls. In total studies, the pooled result showed that SZ patients had decreased serum folate levels
compared with healthy controls (SMD [95%CI] = -1.37[-1.83,-0.90], PSMD<0.001), and in most
of the subgroups, the associations reached decreased significantly; while in the subgroup of drugs
use, the association was not reached significantly.

Conclusion:
Dose-response analysis and subgroup analyses by gender were not performed due to
the lack of data. Folate deficiency is associated with the patients, and antipsychotic drugs might
have positive effects on improving serum folate levels in Chinese Han adult SZ.
Targeting Virus-Induced Reprogrammed Cell Metabolism via Glycolytic
Inhibitors: An Effective Therapeutic Approach Against SARS-CoV-2
Authors: Kumar Vinit , Rani Reshma , Sharma Dolly , Singh Mamta , Gupta Rajat , Garg Manoj , Altieri Andrea , Kurkin Alexander 
Published: June 2022

Abstract:
Reprogrammed cell metabolism has been observed in a wide range of virally infected
cells. Viruses do not have their metabolism; they rely on the cellular metabolism of the host to ensure
the energy and macromolecules requirement for replication. Like other viruses, Severe Acute
Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) does not own its metabolism, but virus infected
cells adopt aberrant cell metabolism. Infected viral use the energy and macromolecules to make
their own copies; to do so, they need to increase the rate of metabolism to ensure the requirement of
macromolecules. In contrast, the cellular metabolism of noninfected cells is more plastic than infected
cells. Therefore, it is essential to examine the virus infection in the context of metabolic alterations
of host cells. A novel therapeutic approach is urgently required to treat highly infectious
COVID-19 disease and its pathogenesis. Interference of glucose metabolism might be a promising
strategy to determine COVID-19 treatment options. Based on the recent research, this mini-review
aims to understand the impact of reprogrammed cell metabolism in COVID-19 pathogenesis and
explores the potential of targeting metabolic pathways with small molecules as a new strategy for
the development of a novel drug to treat COVID-19 disease. This type of research line provides new
hope in the development of antiviral drugs by targeting hijacked cell metabolism in case of viral
diseases and also in COVID-19.
Nepeta binaludensis Jamzad Attenuates Neuronal Injury Induced by
Oxygen-Glucose-Serum Deprivation/Reperfusion in PC12 Cells
Authors: Rajabian Arezoo , Mirzavi Farshad , Rakhshandeh Hassan , Moshirian Farahi Seyed Mostafa 
Published: June 2022

Background:
Nepeta binaludensis Jamzad is a perennial medicinal plant with various pharmacological
effects. However, the neuroprotective effects of Nepeta binaludensis extracts have not yet been
investigated. This study aimed to examine the effects of N. binaludensis hydro-alcoholic extract (NBE) on
oxidative stress markers and apoptosis-related proteins in PC12 cells exposed to oxygen-glucose deprivation/
reperfusion (OGD/R).

Methods:
PC12 cells were pretreated with NBE (at a concentration range of 10-200 μg/ml) before exposure
to the OGD condition for 6 h, followed by a 24 h reoxygenation. Cell viability, the production of the
reactive oxygen species (ROS), lipid peroxidation (LPO), and the levels of apoptosis-related proteins
were evaluated using MTT, fluorimetry, and western blot analysis, respectively.

Results:
Survival of the cells preincubated for 6 h with NBE increased to 90.20 ± 15.62% compared with
those subjected to OGD/R alone (51.26 ± 7.77 %, p < 0.001). ROS formation was also decreased following
incubation with 200 μg/ml of NBE to 125.3 ± 18.38% compared to OGD/R group (356.9 ± 70.48%, p
< 0.001). LPO was also suppressed after incubation with NBE to 155.5 ± 21.21% compared to the
OGD/R group (260.5 ± 9.727%, p<0.001). NBE restored Bax/Bcl-2 ratio (1.3-fold of control), and
cleaved caspase-3 (1.58-fold of control, p < 0.001).

Conclusion:
These results suggest that NBE may offer neuroprotection properties against OGD/Rinduced
toxicity through modulation of oxidative stress and apoptotic responses.
CD163 in Macrophages: A Potential Biomarker for Predicting the Progression
of Diabetic Nephropathy based on Bioinformatics Analysis
Authors: Zhang Xiaodong , Wang Xiaoxia , Li Rui , Liu Ting , Jia Yanyan , Gao Xingxing 
Published: June 2022

Objective:
This study aimed to identify the potential biomarkers in DN.

Method:
DN datasets GSE30528 and GSE47183 were downloaded from the Gene Expression Omnibus
database. Immune cell infiltration was analyzed using CIBERSORT. Weighted gene co-expression
network analysis (WGCNA) was performed to obtain the module genes specific to DN.
The relevant genes were identified intersecting the module genes and differentially expressed genes
(DEGs). The core genes were identified using the MCC algorithm in Cytoscape software. ROC and
Pearson analyses alongside gene set enrichment analysis (GSEA) were performed to identify the
key gene for the core genes. Finally, we performed the Spearman to analyze the correlation between
key gene and glomerular filtration rate (GFR), serum creatinine (Scr), age and sex in DN.

Results:
CIBERSORT analysis revealed the immune cell infiltration in the DN renal tissue and
Venn identified 12 relevant genes. Among these, 5 core genes, namely TYROBP, C1QA, C1QB,
CD163 and MS4A6A, were identified. Pearson analyses revealed that immune cell infiltration and
expression of core genes are related. The key genes with high diagnostic values for DN were identified
to be CD163 via ROC analyses. After Spearman correlation analysis, the expression level of
CD163 was correlated with GFR (r =0.27), a difference that nearly reached statistical significance
(P =0.058). However, there was no correlation between the level of CD163 and age (r =-0.24, P
=0.09), sex (r =-0.11, P=0.32) and Scr (r=0.15, P=0.4).

Conclusion:
We found that CD163 in macrophages may be a potential biomarker in predicting and
treating DN.
A Case Report of Conversion from Hashimoto’s Thyroiditis to Graves’
Disease in Type 1 Diabetic Patient Following the COVID-19 Vaccination
Authors: Taşkaldıran Işılay , Altay Feride Pınar , Bozkuş Yusuf , İyidir Özlem Turhan , Nar Aslı , Tütüncü Neslihan Başçıl 
Published: June 2022

Backround:
A considerable number of COVID-19 vaccines became available following
the outbreak. Yet, various inflammatory and autoimmune complications have been reported
following vaccination. We aimed to report the case of a type 1 diabetic patient converting
from Hashimoto’s thyroiditis to Graves’ disease after the fourth dose of COVID-19 vaccine,
thought to trigger an autoimmune/inflammatory syndrome induced by adjuvants (ASIA syndrome).

Case Presentation:
A thirty-one-year-old female patient with type 1 diabetes and Hashimoto’s
thyroiditis applied to our clinic with complaints of palpitations, anxiety, and weight loss one
month after the fourth dose of COVID-19 vaccine (2 doses of CoronaVac + 2 doses of Pfizer/BioNTech).
She was receiving levothyroxine 50 mcg/day. When her thyroid function tests showed
thyrotoxicosis, we initially considered thyroxine-related exogenous thyrotoxicosis. However,
we considered Graves’ disease upon persisting thyrotoxicosis despite thyroxine withdrawal,
positive serum TSH receptor antibody titers, and other imaging findings. Therefore, various autoimmune
and inflammatory events have been reported after the COVID-19 vaccination. Adjuvants
in vaccines can trigger autoimmune events, which lead to ASIA syndrome. COVID-19
vaccines may cause increased TSH receptor antibody levels or change the balance in the activity
of blocking and stimulating antibodies, which may cause a conversion from Hashimoto’s to
Graves’ disease.

Conclusion:
This was the first case report where the patient experienced a conversion from
Hashimoto’s to Graves’ disease after COVID-19 vaccination, which may ultimately be related
to ASIA syndrome. Yet, more data is needed to elucidate such a relationship, and patients should
closely be checked regularly after four doses of vaccination.
Physicochemical Properties and Biological Activities of Koseret
(Lippia adoensis Hochst. Var. Koseret) Seed and Leaf Oil Extracts
Authors: Shiferaw Mekdes , Yusuf Zekeria , Desta Mulugeta 
Published: June 2022

Background:
Lippia adoensis Hoechst var. adoensis (wild variety) and variety
koseret (cultivated variety) have been used as traditional medicine, condiments, and endemic
to Ethiopia.

Objective:
This study aimed to assess the physicochemical properties and biological activities
of oil extracts from seed and leaves of koseret (L. adoensis var. koseret).

Methodology:
Soxhlet apparatus was used for oil extraction using hexane as a solvent. The
oil quality assessment was based on oil yield, acid value, percent free fatty acid, and peroxide
value, while the biological activities were investigated based on antioxidant and antimicrobial
activities. The antimicrobial experiment was arranged as 2 x1x4 in a completely
randomized factorial design with three replications.

Results:
The result indicated that significantly higher oil yield (2.25%), acid value (2.66%)
and free fatty acid (1.34%) were recorded for seed oil using the solvent extraction method.
Leaf oil was recorded to have significantly higher values of DPPH (2, 2- diphenyl-1-
picrylhydrazyl), ascorbic acid and total carotenoid contents, but a lower value of hydrogen
peroxide scavenging activity indicated that leaf oil presented higher antioxidant activity
than seed oil in koseret. The koseret leaf oil demonstrated stronger antibacterial activity
with a maximum zone of inhibition (14.50±0.21mm), minimum inhibitory concentration
(MIC, 0.25μg/ml) and corresponding minimum bactericidal concentration (MBC,
0.25μg/ml) against S. aureus. Furthermore, leaf oil has also presented stronger antifungal
activity with a maximum zone of inhibition (14.83mm), MIC (0.25 μg/ml), and minimum
fungicidal concentration (MFC, 0.50 μg/ml) against Aspergillus versicolor.

Conclusion:
It can be concluded from the results of this study that leaf oil extract has
demonstrated better biological activities, including both antioxidant and antimicrobial potentials,
than seed oil in koseret.
Fault Diagnosis Method of Three-phase Inverter Based on Time Convolutional
Neural Network
Authors: Li Gang , Li Jing , He Yizhuo , Guo Qun 
Published: June 2022

Abstract:
Power electronics converter is widely used in various applications. When the converter
failure occurs, the system will be damaged, so it is of great significance to timely detect the fault
and apply effective protection. In this paper, the open-circuit fault of the three-phase inverter is
taken as the main object. The time convolutional neural network (TCN) model is designed to realize
the fault diagnosis strategy of the inverter based on feature extraction. The simulated experimental
results show that the neural network model can realize high accuracy fault diagnosis for
different inverter circuits. The overall classification performance is good, and the loss is small. It
is shown that the time convolutional neural network method can diagnose different IGBT fault
intelligently in the inverter. It is proved that the neural network model is effective and feasible for
inverter circuit fault diagnosis.

Background:
Power electronics converter is widely used in various applications. When the converter
failure occurs, the system will be damaged, so it is of great significance to timely detect the
fault and apply effective protection.

Objective:
The open-circuit fault of the three-phase inverter is taken as the main object.

Method:
The time convolutional neural network (TCN) model is designed to realize the fault diagnosis
strategy of the inverter based on feature extraction.

Results:
The simulated experimental results show that the neural network model can realize high
accuracy fault diagnosis for different inverter circuits. The overall classification performance is
good, and the loss is small.

Conclusions:
It is shown that the time convolutional neural network method can diagnose different
IGBT fault intelligently in the inverter. It has been proved that the neural network model is effective
and feasible for inverter circuit fault diagnosis.
O reprezentacyjnych możliwościach muzyki w zapośredniczaniu komunikacji międzyludzkiej. Kilka przykładów
Authors: Mika Bogumiła 
Published: June 2022

This article deals with the possibilities of representation in music, considering the social dimension of the art of sound and its communicative function. Music is understood here as a transmitter of specific meanings and symbols, a communicator of contents, and a mediator of interpersonal communication. It is particularly interesting for culture researchers, sociologists, ethnomusicologists, and semioticians. The text begins by presenting the standpoints of selected philosophers of music. Then the author describes several methodological proposals taking up the issue of the representational abilities of the music. The following are taken into account here: Werner Wolf's intermedial perspective, the position of ethnomusicologists and semioticians, the concepts of music sociologists (symbolic interactionism or the function of a representative public sphere), finally, the culturological proposal (including the issues of phonography, concrete music or audiosphere). The text does not aspire to a comprehensive approach to the subject of representation through music. Its kaleidoscopic presentation instead encourages one to follow an independently chosen path.
Exploring Factors That Predict Marketing of e-Cigarette Products on Twitter: Infodemiology Approach Using Time Series
Authors: Ezike Nnamdi C , Ames Boykin Allison , Dobbs Page D , Mai Huy , Primack Brian A 
Published: June 2022

Background
Electronic nicotine delivery systems (known as electronic cigarettes or e-cigarettes) increase risk for adverse health outcomes among naïve tobacco users, particularly youth and young adults. This vulnerable population is also at risk for exposed brand marketing and advertisement of e-cigarettes on social media. Understanding predictors of how e-cigarette manufacturers conduct social media advertising and marketing could benefit public health approaches to addressing e-cigarette use.

Objective
This study documents factors that predict changes in daily frequency of commercial tweets about e-cigarettes using time series modeling techniques.

Methods
We analyzed data on the daily frequency of commercial tweets about e-cigarettes collected between January 1, 2017, and December 31, 2020. We fit the data to an autoregressive integrated moving average (ARIMA) model and unobserved components model (UCM). Four measures assessed model prediction accuracy. Predictors in the UCM include days with events related to the US Food and Drug Administration (FDA), non-FDA-related events with significant importance such as academic or news announcements, weekday versus weekend, and the period when JUUL maintained an active Twitter account (ie, actively tweeting from their corporate Twitter account) versus when JUUL stopped tweeting.

Results
When the 2 statistical models were fit to the data, the results indicate that the UCM was the best modeling technique for our data. All 4 predictors included in the UCM were significant predictors of the daily frequency of commercial tweets about e-cigarettes. On average, brand advertisement and marketing of e-cigarettes on Twitter was higher by more than 150 advertisements on days with FDA-related events compared to days without FDA events. Similarly, more than 40 commercial tweets about e-cigarettes were, on average, recorded on days with important non-FDA events compared to days without such events. We also found that there were more commercial tweets about e-cigarettes on weekdays than on weekends and more commercial tweets when JUUL maintained an active Twitter account.

Conclusions
e-Cigarette companies promote their products on Twitter. Commercial tweets were significantly more likely to be posted on days with important FDA announcements, which may alter the narrative about information shared by the FDA. There remains a need for regulation of digital marketing of e-cigarette products in the United States.
Estilo de vida de estudiantes en primer semestre de odontología de una universidad privada, Cali 2016
Authors: Lara Yeny , Quiroga Claudia , Jaramillo Adriana , Bermeo Myriam 
Published: June 2022

Objetivo: Identifi car los estilos de vida de los estudiantes de primer semestre de Odontología en una universidad privada en el año 2016. Material y métodos: Estudio descriptivo, transversal, cuantitativo, con una muestra de 58 estudiantes de primer semestre de una universidad privada de Cali. Se diligenció de manera virtual y anónima el cuestionario Fantástico que consta de 25 preguntas cerradas de escala Likert, que mide varios dominios físicos, psicológicos y sociales relacionados con el estilo de vida. Se realizó análisis estadístico uni- y bivariado con el programa Stata 13®, buscando asociación entre cada ítem y el resultado fi nal con el sexo del estudiante, mediante la prueba χ2 con un alfa de 0.05. Resultados: Las categorías en las que se obtuvo un bajo puntaje fueron actividad física, alimentación, fumar, consumo de alcohol, hábitos de sueño y estrés. Hubo diferencias signifi cativas en el consumo de cigarrillo, siendo mayor en hombres. Conclusión: El estilo de vida en la mayoría de los estudiantes fue excelente y bueno.