bluuebunny/crossref_metadata_2025_split huggingface dataset:
RAD50 Deficient in a Breast Cancer Model Predicts Sensitivity to PARP
Inhibitors
Authors: Niederauer Ramos Cíntia Regina , Silva Oliveira Renato José , Rosa Marcela Nunes , Pereira Ariane Stéfani , de Abreu Renata Barbosa Vahia , Helvoort Lengert Andre van , Reis Rui Manuel , Oliveira Silva Viviane Aline , Palmero Edenir Inêz , Melendez Matias Eliseo 
Published: April 2023

Background:
Breast and ovarian tumors with pathogenic variants in BRCA1 or BRCA2
genes are more sensitive to poly (ADP-ribose) polymerase inhibitors (PARPi) treatment than wildtype
tumors. Pathogenic variants in non-BRCA1/2 homologous recombination repair genes (HRR) also
concede sensitivity to PARPi treatment. RAD50 participates in the Mre11-Rad50-Nbn (MRN)
complex of the HRR pathway and plays an important role in DNA repair.

Objective:
The objective of this study is to evaluate whether RAD50 protein deficiency modulates the
PARPi response in breast cancer cell lines.

Methods:
T47D breast cancer cell line was modified using small interfering RNA and CRISPR/Cas9
technology, to knockout the RAD50 gene. PARPi response (niraparib, olaparib and rucaparib alone or
in combination with carboplatin), in T47D and T47D-edited clones, was evaluated by cell viability,
cell cycle, apoptosis and protein expression analyses.

Results:
Treatment with niraparib and carboplatin exerted a synergistic effect on T47D-RAD50 deficient
cells and an antagonistic effect on T47D cells parental. Cell cycle analysis demonstrated an increase
in the G2/M population in cells treated with niraparib or rucaparib alone or in combination with
carboplatin. T47D-RAD50 deficient cells treated with rucaparib and carboplatin exhibited twofold
levels in late apoptosis, also showing differences in PARP activation. All T47D RAD50 deficient
clones treated with niraparib or rucaparib combined with carboplatin, or rucaparib alone showed increased
levels of H2AX phosphorylation.

Conclusions:
T47D RAD50 deficient cells treated with PARP inhibitors alone or in combination with
carboplatin showed cell cycle arrest in the G2/M phase, leading to death by apoptosis. Thus, RAD50
deficiency may be a good biomarker for predicting PARPi response.
UCA1 Inhibits NKG2D-mediated Cytotoxicity of NK Cells to Breast
Cancer
Authors: Yin Jun-Yi , Zhou Yao , Ding Xiao-Ming , Gong Run-Ze , Zhou Yan , Hu Hai-Yan , Liu Yuan , Lv Xiao-Bin , Zhang Bing 
Published: April 2023

Background:
Natural killer cells play important roles in tumor immune surveillance, and
cancer cells must resist this surveillance in order to progress and metastasise

Introduction:
The study aimed to explore the mechanism of how breast cancer cells become resistant
to the cytotoxicity of NK cells

Methods:
We established NK-resistant breast cancer cells by exposing MDA-MB-231 cells and
MCF-7 cells to NK92 cells. Profiles of lncRNA were compared between the NK-resistant and parental
cell lines. Primary NK cells were isolated by MACS, and the NK attacking effect was tested by
non-radioactive cytotoxicity. The change in lncRNAs was analyzed by Gene-chip. The interaction between
lncRNA and miRNA was displayed by Luciferase assay. The regulation of the gene was verified
by QRT-PCR and WB. The clinical indicators were detected by ISH, IH, and ELISA, respectively.

Results:
UCA1 was found to be significantly up-regulated in both NK-resistant cell lines, and we
confirmed such up-regulation on its own to be sufficient to render parental cell lines resistant to
NK92 cells. We found that UCA1 up-regulated ULBP2 via the transcription factor CREB1, while it
up-regulated ADAM17 by “sponging” the miR-26b-5p. ADAM17 facilitated the shedding of soluble
ULBP2 from the surface of breast cancer cells, rendering them resistant to killing by NK cells.
UCA1, ADAM17, and ULBP2 were found to be expressed at higher levels in bone metastases of
breast cancer than in primary tumors.

Conclusion:
Our data strongly suggest that UCA1 up-regulates ULBP2 expression and shedding,
rendering breast cancer cells resistant to killing by NK cells.
Neuropsychiatric Systemic Lupus Erythematosus and Posterior Reversible
Encephalopathy Syndrome in a Young Woman: A Case Report
Authors: Mohammed Bawazir Yasser , Wasim Anshasi Neda'a 
Published: April 2023

Introduction:
Systemic Lupus Erythematosus (SLE) is a chronic autoimmune disease with variable clinical presentation, including neuropsychiatric manifestations. It has a different di-agnostic approach and several different therapeutic options.

Case Report:
We describe a case of a young woman who first presented with arthritis, serositis, and pancreatitis, and was treated with mycophenolate mofetil initially. The patient presented with neu-rological symptoms suggestive of neuropsychiatric manifestations three weeks later, confirmed by Brain Magnetic Resonance Imaging (MRI). The treatment was changed to cyclophosphamide; how-ever, the day after the infusion, she developed status epilepticus and was admitted to the intensive care unit. Repeated brain MRI revealed Posterior Reversible Encephalopathy Syndrome (PRES). Cyclophosphamide was discontinued and rituximab was initiated. The patient’s neurological mani-festations improved, and she was discharged after 25 days of use.

Conclusion:
Immunosuppressive agents, such as cyclophosphamide have been described as a po-tential risk factor for PRES; however, it is not clear from the available literature whether cyclo-phosphamide therapy is just a marker of more severe SLE or a true risk factor for PRES.
Carbon Nanoparticles Promoted the Absorption of Potassium Ions by
Tobacco Roots via Regulation of K+ Flux and Ion Channel Gene
Expression
Authors: Zhao Zhenjie , Dai Huaxin , Wang Guiyao , Peng Yuhan , Liao Fu , Wu Jizhong , Liang Taibo 
Published: April 2023

Background:
The regulatory effects of carbon nanomaterials (CNMs) on plant growth and
their potential applications in agriculture have attracted a great deal of attention from researchers.
CNMs have been shown to promote nutrient absorption and increase plant growth. However, the
mechanisms by which CNMs affect plant growth and nutrient absorption are still unknown.

Methods:
The tobacco seedling biomass, potassium (K+) concentration, and accumulation in hydroponic
were investigated to exposure of carbon nanoparticles (CNPs). To directly observe the effect of
CNPs on K+ uptake by roots, we employed a noninvasive micro-test technique (NMT) to detect the
net flux of K+ on the surface of tobacco roots. The K+-depletion experiment was carried out to explore
the kinetic characteristics of K+ absorption, and qRT-PCR was used to monitor the expression levels
of the K+ channel gene.

Results:
The results showed that tobacco seedling biomass significantly improved at 10 mg·L-1 CNP
treatments, and K+ concentration and accumulation both in roots and shoots increased with 10 and 20
mg·L-1 CNPs. CNP treatments changed the flow rate of K+ from efflux to influx in tobacco roots; this
was observed both in plants cultivated in a CNP-containing medium and after the addition of CNPs to
previously untreated plants. A depletion test also showed that CNPs improved the K+ absorption capacity
and low-K+ tolerance of tobacco seedlings.

Conclusion:
CNPs enhanced the K+ absorption capacity and low-K+ tolerance of tobacco seedlings.
The promotion of K+ absorption by CNPs was closely related to the activation of K+ influx channel
genes and inhibition of the K+ outflow channel gene. The K+ flux response and ion channel gene expression
to CNPs in plants reveal the mechanism whereby CNPs promote plant nutrient absorption.
Effectiveness of Mindfulness-acceptance-commitment based approach for Rumination, Cognitive Flexibility and Sports Performance of Elite Players of Beach Soccer: A Randomized Controlled Trial with 2-months Follow-up
Authors: Sabzevari Fatemeh , Samadi Hossein , Ayatizadeh Farahnaz , Machado Sergio 
Published: April 2023

Background/Objective:
There is little research on the effectiveness of new approaches to psychology, including mindfulness-acceptance-commitment, especially in team disciplines. Therefore, this study compared mindfulness-acceptance and commitment-based approaches to rumination, cognitive flexibility, and sports performance of elite beach soccer players during a two-month follow-up.

Methods:
The research design consisted of a randomized controlled trial (RCT), with follow-up. Thus, 34 players of the premier league of beach soccer were randomly divided into intervention and control groups based on mindfulness acceptance and commitment. The experimental group exercises consisted of one session per week for 7 weeks and daily homework. Participants filled out the questionnaires of the Ruminative Response Scale, Cognitive Flexibility Inventory, and Sports Performance Questionnaire before, after, and at two months of follow-up of the intervention.

Results:
Multivariate Analysis of Variance (MANOVA) and Analysis of Variance (ANOVA) with repeated measures were used to evaluate the changes over time and compare the scores of the subjects of the two groups. The results showed a significant difference in mindfulness-acceptance and commitment intervention in the experimental group on pre- vs. post-test and pre-test vs. follow-up scores of research variables. Also, a comparison of groups using independent T-test analysis showed a significant effect of mindfulness-acceptance and commitment exercises on research variables in the experimental group in the post-test and follow-up stages.

Conclusion:
Findings suggest that mindfulness, commitment, and acceptance exercises can be used as a new method to reduce rumination and increase cognitive flexibility and sports performance of elite beach soccer players.
Early Lung Cancer Prediction approach based on Gene Disorder using Improved GA and Decision Tree approach
Authors: Anupriya Annamalai , Thangavelu Arunkumar 
Published: April 2023

Abstract:
This research supports changes and variation of DNA sequence based on mutation of DNA gene arrangement over a gross chromosome irregularity. This change in gene disorder leads to new infectious diseases or abnormal changes in the human cellular body. This paper discusses the prediction of lung cancer traces, primarily due to mutations due to clinical and environmental factors exposure. The proposed model predicts the genetic phenotype from observed patients' relevant gene factors and non-genetic traces of lung cancer. Results and analysis show that the prediction rate supports an average of 73.81% of gene disorders compared with ACO and GA approaches.

Background:
The survey shows that most genetic diseases are the immediate consequence of a mutation in multiple genes. A survey and analysis of research work that supports changes and DNA variation of gene sequence, based on mutation DNA gene arrangement to a gross chromosome irregularity.

Objective:
This research aims to predict lung cancer cells based on genetic phenotype from its relevant gene factors and non-genetic traces of lung cancer from observed patient datasets.

Methods:
Major changes in gene disorder lead to abnormal changes in the human cellular body and hence the growth of cancerous tissues. The paper discusses the prediction of lung cancer traces, primarily due to gene mutations and exposure to climatic and environmental factors. An improved GA and decision tree approach as a classifier is designed and developed to support early prediction.

Results:
Analysis shows that the prediction accuracy rate supports an average of 73.81% of lung cancer based on gene disorder compared to the ACO and GA approaches.

Conclusion:
The result of the experiment shows that the approaches give more accuracy than the previous approaches.
Factors Influencing the Preference for Homes as the Location for Long-term Care in the Japanese Population
Authors: Ukawa Shigekazu , Kato Yusuke , Lee Yonggeun , Ohara Kazuoki , Mori Kazuhiko 
Published: April 2023

Introduction:
In this cross-sectional study, we aimed to investigate the factors for preferring homes as the location to receive long-term care in community-dwelling populations.

Methods:
A total of 4,113 individuals with a response rate of 36.7% from four areas in Japan were analyzed. All information was obtained from a questionnaire survey conducted in 2019. We used negative binominal regression modeling with adjustments for areas to calculate the prevalence ratios (PRs) and 95% confidence intervals (CIs) for the preference of long-term home care about factors. All missing values were input using multiple imputations.

Results:
The results show that the prevalence of preferring homes as the location for receiving long-term care was 73.4%. Being employed (PR: 1.04; 95% CI: 1.00–1.09), living with others (PR: 1.12; 95% CI: 1.05–1.19), feeling satisfied with the environment of nursing care in residential areas (PR: 1.05; 95% CI: 1.00–1.10), feeling satisfied with the natural surroundings in the community (PR: 1.18; 95% CI: 1.07–1.31), the presence of people in the community who can be consulted about problems (PR: 1.05; 95% CI: 1.00–1.10), and the presence of close friends in the community (PR: 1.09; 95% CI: 1.03–1.15) were significantly associated with the preference for long-term home care.

Conclusion:
We suggest that municipalities should consider these social and interpersonal associations to support older residents’ preference of receiving home care services.
MicroRNA Expression Profile Separates Squamous Cell Carcinoma by
Mode of Differentiation
Authors: Marumo Andani , Botha Adam , Molepo Julitha , Adeola Henry , Magangane Pumza , Molaudzi Mulalo 
Published: April 2023

Background:
Squamous cell carcinoma (SCC) is a non-melanoma skin cancer with sev-eral risk factors including age and sun exposure. The degree of histological differentiation is consid-ered an independent predictor of recurrence, metastasis, and survival. MicroRNAs (miRNAs) are small non-coding RNAs that play an important role in regulating gene expression, culminating in the initiation and progression of multiple tumors. The aim of this study was to determine changes in miRNA expression as a result of the mode of differentiation in SCC.

Methods:
We analyzed 29 SCC samples that were separated by mode of differentiation into well (n=4), moderate (n=20) and poor (n=5). Of the 29 samples, five had matched normal tissues, which were used as controls. Total RNA was extracted using the RNeasy FFPE kit, and miRNAs were quantified using Qiagen MiRCURY LNA miRNA PCR Assays. Ten miRNAs (hsa-miR-21, hsa-miR-146b-3p, hsa-miR-155-5p, hsa-miR-451a, hsa-miR-196-5p, hsa-miR-221-5p, hsa-miR-375, hsa-miR-205-5p, hsa-let-7d-5p and hsa-miR-491-5p) that have been previously differentiated in cancer, were quantified. A fold regulation above 1 indicated upregulation and below 1, downregula-tion.

Results:
Hierarchical clustering showed that the miRNA expression profile in the moderately differ-entiated group was similar to the well-differentiated group. The miRNA with the greatest upregula-tion in the moderate group was hsa-miR-375, while in the well group, hsa-miR-491-5p showed the greatest downregulation.

Conclusion:
In conclusion, this study observed that the well and moderate groups had similar mi-croRNA expression patterns compared to the poorly differentiated group. MicroRNA expression profiling may be used to better understand the factors underpinning mode of differentiation in SCC.
Curvempirical Transform for Multimodal Fusion of Brain Images
Authors: Jamwal Anupama , Jain Shruti 
Published: April 2023

Aims:
Medical imaging requires special operating procedures and can cause mis-images
that occur when someone is getting imaged, which can lead to inaccurate results

Background:
Adaptive illustration of the signal is imperative in signal processing. Empirical
Wavelet Transform (EWT) is a new-fangled adaptive signal decomposition technique.

Objective:
Brain image fusion understands a dynamic job in medical imaging applications by assisting radiologists in detecting the variation in CT and MR images.

Methods:
This paper presents a fusion of filter banks of CT-MR image modalities of the Brain using the Empirical Curvelet Transform and Hybrid technique. In the hybrid technique filter banks
of CT curvelet-MR little wood and CT little wood -MR curvelet were fused. The images were preprocessed using the Top Hat transform technique. The evaluation was performed based on the
performance evaluation parameter. PSNR and SSIM are considered performance evaluation parameters

Results:
It has been observed that the results of fused filter banks using the curvelet technique
show remarkable results in terms of PSNR and SSIM. The fused results show 29.10 dB PSNR and
0.819 SSIM.

Conclusion:
It has been observed that the fusion using only curvelet results in a 47.25% improvement in comparison with CT curvelet-MR little wood and a 42.68% improvement in comparison with CT little wood -MR curvelet.
Auto-aggressive Behavior as a Medical and Social Problem of Our Time: Definitions, Concepts, and Retrospective of Research by Russian Authors, Narrative Review
Authors: Darin Evgeny 
Published: April 2023

:
The study of autoaggression is one of the main areas of research work in psychiatry,
suicidology, and psychology. Suicidal behavior remains one of the most dangerous forms of
autoaggressive behavior. In recent years, both in Russia, and around the world, there has been
an increased interest in the problem of non-suicidal injuries. This review aims to analyze,
summarize, and present definitions of autoaggression, suicidal behavior, and self-harm that are
relevant among Russian authors, as well as present long-term results of dissertation research by
Russian authors on this topic. A non-systematic narrative review is presented. In the first section,
a search was made for Russian-language, and English-language sources in the databases:
ELibrary.ru, PubMed, and the “google scholar” search system. Articles were searched by keywords:
Self-Injurious Behavior Suicide Suicidal Ideation Suicide, Attempted, autoaggression,
self-harm, and adolescents. In the second section, a search and analysis of dissertation research
by Russian authors from 2000 to 2020 are carried out using the database of the Russian State
Library. On this topic, a total of 86 papers were found, of which 66 theses directly study these
issues, 8 theses have information on this topic in the results and conclusions, and 12 theses
were excluded from the results as not relevant. The story is arranged in chronological order
from oldest to newest. Abstracts of dissertations are used for citation. The behavior of an autoaggressive
nature, self-injurious behavior, and non-suicidal self-harm is currently a phenomenon
that is widespread among adolescents. Currently, NSSI is an urgent problem of mental
health among adolescents.
Patients With Rare Diseases and the Power of Online Support Groups: Implications for the Medical Community
Authors: Ashtari Sadaf , Taylor Adam 
Published: April 2023

BackgroundPrevious studies have shown positive tangible health benefits from using online support communities for informational support, daily living support, and emotional support. The specifics of how these communities can be improved have not been studied in detail.ObjectiveThis study will investigate various sources of information that patients with genetic disorders use to learn more about their condition. We will be using patients with Ehlers-Danlos Syndrome (EDS) as a typical representation of the wider group of patients with genetic disorders. This study will also investigate the benefits and disadvantages of web-based platforms and how they can be improved.MethodsWe used quantitative and qualitative analyses in this study. We undertook a web-based questionnaire survey and semistructured qualitative interviews through Zoom. Questionnaire results were analyzed using descriptive analysis. Thematic coding with constant comparison was used for interview transcript analysis.ResultsA total of 436 respondents completed some or all of the survey. The majority of participants are female (386/413, 93.46%), and 24% (99/413) of them are in the age range of 25-34 years. Around 81% (336/413) of the participants have some type of college degree, and 55% (227/413) of them have graduate degrees. About 49.31% (204/413) of them are not currently employed. Most patients stated that their health care providers did not give accurate and complete information to them regarding their health situation (mean 2.87, SD 1.34). Also, patients perceived their providers as not knowledgeable regarding web-based communities that discuss patients’ conditions (mean 1.93, SD 1.15). Patients are confident in using health care resources available in web-based health communities (mean 3.78, SD 1.13). We interviewed 30 participants. The demographics of the interviewees were aligned with those of the survey participants. A total of 9 different themes were identified based on the Qualtrics survey and qualitative interviews. Participants shared the pros and cons of different online support groups that they were using and gave suggestions for improvement. They requested a centralized database with different categories of resources classified based on different diseases. They also emphasized the importance of search features and the ability to find relevant information with a hashtag. Furthermore, they elaborated on the privacy and security concerns they have regarding web-based support group platforms.ConclusionsPatients with rare diseases are finding information not available from their health care providers in community support groups. The medical community and web developers have a great opportunity to help these people by engaging with their web-based communities.
Magnitudes for local earthquakes calculated with the El Salvador seismic network
Authors: Martínez Elsa Guadalupe , Villagán Mario , Havskov Jens 
Published: April 2023

La red sismográfica de El Salvador está compuesta principalmente por 19 estaciones telemétricas de periodo corto instaladas entre 1983 y 1992. La red tiene una central digitalizadora instalada en 1992 de tal manera que a partir de este año, todos los datos son digitalmente procesados. Los nuevos datos digitales de El Salvador y de otros países de América Central han sido utilizados para probar y calibrar diferentes escalas de magnitud basadas en coda y amplitud. Debido a Ia pequeña dimensión de Ia red de El Salvador, ninguna función de atenuación significantemente diferente de Ia relación original de Richter (1935) pudo ser determinada. La escala de magnitud de ondas de coda calibrada con Ml es Ia siguiente: Me = 2.5*log(coda) + 0.0016*dist- 1.7donde coda es Ia longitud de la coda en segundos y dist es Ia distancia hipocentral en km. Para esta escala, algunos datos de otros países de América Central han sido utilizados con el objeto de conseguir un mejor rango de distancia y magnitud de lo que se puede obtener utilizando únicamente los datos de El Salvador. Magnitudes de momento sísmico Mw fueron calculadas basándose en el espectro de Ia onda P, y comparadas con Ml y con Mb de PDE. El promedio de Ml, Mw y de Mb fue de 4.9, 5.2 y 5.0 con datos en el rango de magnitudes 3.4-6.4, 4.1--6.2 y 3.6-6.0 respectivamente. La diferencia sistemática entre Ml y Mw calculada con el mismo conjunto de datos posiblemente indica que las funciones de atenuación utilizadas son inadecuadas, que hay problemas instrumentales o que hay alguna diferencia sistemática en Ia manera en que Ml y Mw son determinadas. A pesar de las incertidumbres, Ia buena consistencia de las magnitudes obtenidas con relación a las obtenidas externamente significa que podemos determinar magnitudes en el rango de 4 a 6 utilizando la red digital de El Salvador, ya sea a base de duración de Ia coda y/o amplitudes de ondas P o S.doi: sin doi