bluuebunny/crossref_metadata_2025_split huggingface dataset:
RNA Seq and ceRNA Network Analysis of the Rat Model of Chronic
Kidney Disease
Authors: Wang Zheng , Wang Xiangting , Xu Hepeng , He Zhen , Zhang Mengjuan , Zhou Wenping , Xu Chang , He Ming 
Published: May 2022

Background:
Long non-coding RNAs (lncRNAs) containing microRNA (miRNA) response
elements (MREs) can be used as competitive endogenous RNAs (ceRNAs) to regulate gene
expression. Objective: The purpose of this study was to investigate the expression profile and role
of mRNAs and lncRNAs in unilateral ureteral obstruction (UUO) model rats and to explore any associated
competing endogenous (ceRNA) network.

Methods:
Using the UUO model, the obstructed kidney was collected on the 15th day after surgery.
RNA Seq analysis was performed on renal tissues of four UUO rats and four sham rats. Four
mRNAs and four lncRNAs of differentially expressed genes were randomly selected for real-time
quantitative PCR (RT qPCR) analysis. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and
Genomes (KEGG) pathways were analyzed, and bioinformatics was used to predict MREs. By
screening for ceRNAs combined with target gene prediction, a related ceRNA network was constructed
and verified by RT-qPCR.

Results:
We identified 649 up-regulated lncRNAs, 518 down-regulated lncRNAs, 924 downregulated
mRNAs and 2029 up-regulated mRNAs. We identified 30 pathways with the highest enrichment
in GO and KEGG. According to the RNA Seq results and the expression of Nr4a1, the
network was constructed based on Nr4a1 and included two MREs and ten lncRNAs. Furthermore,
lncNONRATT011668.2/miR-361-3p/Nr4a1 was identified and verified according to ceRNA sequencing
and target gene prediction.

Conclusions:
mRNAs and lncRNAs are differentially expressed in UUO model rats, which may be
related to the pathogenesis of chronic kidney disease. The lncNONRATT011668.2/miR-361-
3p/Nr4a1 ceRNA network may be involved in the pathogenesis of chronic kidney disease.
The Synthesis of Urolithins and their Derivatives and the Modes of Antitumor
Action
Authors: Yao Lei , Xu Xiangrong , Liu Zhuanhong 
Published: May 2022

Abstract:
Urolithins are microbial metabolites derived from berries and pomegranate fruits,
which display anti-inflammatory, anti-oxidative, and anti-aging activities. There are eight natural
urolithins (urolithin A-E, M5, M6 and M7), which have been isolated by now. Structurally, urolithins
are phenolic compounds and belong to 6H-dibenzo [b,d] pyran-6-one. They have drawn
considerable attention because of their vast range of biological activities and health benefits. Recent
studies also suggest that they possess anti-SARS-CoV-2 and anticancer effects. In this article,
the recent advances in the synthesis of urolithins and their derivatives from 2015 to 2021 are reviewed.
To improve or overcome the solubility and metabolism stability issues, the modifications
of urolithins are mainly centered on the hydroxy group and lactone group, and some compounds
have been found to display promising results and the potential for further study. The possible
modes of antitumor action of urolithin are also discussed. Several signaling pathways, including
PI3K-Akt, Wnt/β-catenin pathways, and multiple receptors (aryl hydrocarbon receptor, estrogen
and androgen receptors) and enzymes (tyrosinase and lactate dehydrogenase) are involved in the
antitumor activity of urolithins.
Bio-Membrane SELEX as a New Approach for Selecting ss-DNA
Aptamers that Bind to the Hydatid Cyst Laminated Layer
Authors: Dehkordi Azar Balouti , Khanahmad Hossein , Azizi Yadollah , Mirian Mina , Pestehchian Nader , Darani Hossein Yousofi 
Published: May 2022

Background:
Hydatid cyst (HC) is the larval stage of the canine intestinal
tapeworm (cestode), Echinococcus granulosus. In addition to the high global economic
cost of livestock farming, the infection can lead to dangerous problems for human
health. Therefore, research into new diagnosis and treatment approaches is valuable.
This study is set out to explore aptamers that bind to HC antigens.

Methods:
The similarity between HC genotype in sheep and humans was that sheep
HCs were collected and used as a biological membrane for aptamer selection. Four Bio-
Membrane SELEX rounds were conducted, and ssDNA aptamers were selected.
Selected aptamers' affinity and specificity to the laminated layer antigens were evaluated
using membrane staining by fluorescein primer as a probe. Biotinylated primer was used
as a probe for aptahistochemistry and dot blot techniques. Subsequently, cloning and
plasmid extraction was conducted. The affinity and specificity of sequenced aptamers
were examined with the dot blot method.

Results:
Selected aptamers reacted with HC wall in aptahistochemistry,
aptahistofluorescent, and dot blot experiments. Following cloning and sequencing, 20
sequences were achieved. A strong reaction between HC total antigens and sequenced
aptamers has emerged in the dot blot method.

Conclusion:
We propose a novel method to determine specific aptamers in this
investigation. Bio-Membrane SELEX could be assumed as a practical and sensitive
method for aptamer selection. Selected aptamers in this study possibly may be used for
specific HC antigens detection.
An In vivo Investigation of Ascorbic Acid Tethered Polymeric Nanoparticles
for Effectual Brain Transport of Rivastigmine
Authors: Gajbhiye Kavita R. , Soni Vandana 
Published: May 2022

Introduction:
The goal of this study was to see if ascorbic acid grafted polylactic glycolic acid-b-polyethylene glycol nanoparticles (PLGA-b-PEG NPs) might boost the carrying or transport capacity of rivastigmine (RSM) to the brain via choroid plexus Sodium-dependent vitamin C transporter 2 (SVCT2 transporters). The IR and 1H NMR, were used to characterise the PLGA-b-PEG copolymer.

Methods:
Nanoprecipitation method was used to make PLGA-b-PEG NPs. To promote SVCT2-mediated transportation of ascorbic acid (Asc) into the brain, PLGA-b-PEG NPs of acceptable size, polydispersity, and drug loading were bound with ascorbic acid (PLGA-b-PEG-Asc). When compared to PLGA-b-mPEG NPs, the surface functionalization of NPs with ascorbic acid dramatically improved cellular uptake of NPs in SVCT2 expressing NIH/3T3 cells. Radial Arm Maze Test, and Acetylcholinesterase (AChE) activity in scopolamine-induced amnetic rats were used to assess in vivo pharmacodynamic effectiveness.

Result:
In vivo pharmacodynamic tests revealed that drug loaded PLGA-b-PEG-Asc NPs had much greater therapeutic and sustained activity than free drugs, and PLGA-b-mPEG NPs to the brain.

Conclusion:
As a consequence, the findings revealed that using ascorbic acid grafted PLGA-b-PEG NPs to deliver bioactives to the brain is a potential strategy.
Irregular Baseline Brain Activity in Coronary Artery Disease Patients with
Cognitive Impairment: A Resting-state Functional Magnetic Resonance
Imaging Study
Authors: Zhang Jingchen , Yan Jueyue , Niu Jianhua , Xu Zhipeng , Fang Xing , You Jingyu , Li Tong 
Published: May 2022

Objective:
Cognitive impairment has been suggested to be associated with coronary artery
disease [CAD]; however, the underlying mechanism is not fully understood. Our current study
aimed to explore the brain activity in CAD patients compared to healthy controls [HCs].

Methods:
Twenty-two CAD patients and 23 HCs were enrolled in our study. A low-frequency oscillation
at the voxel level in all participants based on the amplitude of low-frequency fluctuations
[ALFF] was measured using resting-state functional magnetic resonance imaging. All participants
underwent neuropsychological examinations [Mini-Mental State Examination, MMSE and Montreal
Cognitive Assessment, MoCA] and visual acuity examination.

Results:
CAD patients showed significantly lower ALFF values [P < 0.05] in the right precuneus
gyrus [Precuneus_R], left supramarginal gyrus [Supramarginal_L], left angular gyrus [Angular_L],
and left middle cingulum gyrus [Cingulum_Mid_L] than healthy controls. Lower MoCA scores in
CAD patients significantly correlated with lower Supramarginal_L [P = 0.001] and Cingulate_
Mid_L [P = 0.004] ALFF values. Reduced visual acuity significantly correlated with lower
Precuneus_R [P = 0.019] and Cingulate_Mid_L [P = 0.011] ALFF values in CAD patients.

Conclusion:
These findings may provide further insight into the underlying neuropathophysiology
of CAD with cognitive impairment.
Value of IMA, IMAR, the IMA Index, and Other Hematological Features
in Predicting AIS Caused by MCA Stenosis/Occlusion
Authors: Ren Biqiong , Li Sijin , Chen Xing , Yang Huan , Li Huiyang 
Published: May 2022

Objective:
In this study, we investigated the relationship between serum ischemic modified
albumin (IMA) levels and other hematologic features and middle cerebral artery (MCA) severe
stenosis/occlusion in acute ischemic stroke (AIS) patients.

Method:
The levels of serum IMA and Albumin (ALB) of 169 AIS patients were measured, and
the ratio of IMA to albumin (IMAR) and the albumin-adjusted ischemia-modified albumin index
(IMA index) were calculated. Different combinations of other hematologic changes and clinical
features of the patients were analyzed.

Results:
The results indicated that the levels of blood IMA and IMAR were significantly higher in
the group with severe intracranial stenosis/occlusion than in the group with non-severe stenosis/
occlusion in AIS patients, while the CHE levels were significantly lower than those in the other
groups. In the MCA severe stenosis/occlusion group, the levels of blood IMA and IMAR were significantly
higher than that in the other vascular severe stenosis/occlusion groups, while the IMA
index, ALB, and CHE were significantly lower than that in the other groups. Multiple linear regression
analysis showed a significant negative correlation between IMA and albumin. A combined
diagnostic ROC curve analysis showed that among AIS patients, the best combination for determining
severe stenosis/occlusion of the great intracranial arteries was the admission NIHSS score +
CHE (AUC = 0.783). The best combination for determining severe stenosis or occlusion of the
MCA in AIS patients was IMAR combined with the admission NIHSS score and CHE (AUC =
0.827).

Conclusion:
The combined use of IMA, IMAR, and the IMA index has some diagnostic value in
AIS caused by severe stenosis or occlusion of the MCA. IMAR, CHE, and the admission NIHSS
scores are the best combinations to determine whether an AIS patient has severe stenosis or occlusion
of the MCA.
Upgrading CO2 by Incorporating into Quinazolinones: A Review
Authors: Wahan Simranpreet K. , Sharma Sangeeta , Chawla Pooja A. 
Published: May 2022

Abstract:
Efficient translation of CO2 into value-added compounds is a fascinating topic in green chemistry. The effective conversion of CO2 into useful chemicals and materials helps civilization flourish in the long run. Carbon dioxide has shown its tremendous applications by replacement of dangerous chemicals like phosgene, isocyanates, or carbon monoxide, resulting in more environment friendly operations. This article is an overview, in which we sought to highlight current advances in the synthesis of quinazolinone, a favoured scaffold in the pharmaceutical industry for its therapeutic value in the treatment of variety of pathologies. The complementarity of succinct methods aids the ability to generate libraries of functionalized quinazolinone derivatives.
Patient and Healthcare Professional Satisfaction with the OneTouch Verio
Reflect® Blood Glucose Monitoring System in the UAE
Authors: Grady Mike , Shearer David , Ajaz Yasmeen , Khan Asif Majid , Jallo Mahir Khalil Ibrahim , Najjar Majdi Al , Hosny Mohamed Adel , Holt Elizabeth 
Published: May 2022

Aims:
The goal of this study was to collect the opinions of patients and HCPs who used
OneTouch Verio Reflect® in the United Arab Emirates (UAE).

Background:
Blood glucose monitoring devices are essential tools that aid healthcare professionals
(HCPs) in improving outcomes in people with diabetes.

Objectives:
To assess the satisfaction of patients and HCPs with the new functionalities of the
OneTouch Verio Reflect® Blood Glucose Meter (BGM).

Method:
We conducted a multicenter cross-sectional study that recruited eight HCPs and 100
patients with diabetes who had used OneTouch Verio Reflect® with OneTouch Verio® test strips
for four weeks in four hospitals in the UAE.

Result:
Around 98% of patients and HCPs declared their satisfaction with the new features in the
OneTouch Verio Reflect® BGM. Participants’ responses were not associated with the duration of
diabetes (p-values >0.05) except for the Results Log feature (p-value=0.016). Patients rated Blood
Sugar Mentor® messages, which include mentor tips, pattern messages, and awards, as the most
important features, while HCPs rated ColorSure® Dynamic Range Indicator as the most helpful
feature. Patients and HCPs stated that the “pattern found (high glucose),” which was the most frequently
seen message, was the most useful message. All HCPs strongly agreed that the ColorSure®
Dynamic Range Indicator helped them understand results and 98% of patients agreed that automated
meter messages helped them to be more confident in following HCP recommendations.

Conclusion:
Patients and HCPs indicated high levels of satisfaction with the features within the
OneTouch Verio Reflect® meter.
Quality Assessment of Marinated Halva Sya (Parastromateus niger) Fillets
During Storage at 4 °C
Authors: Aberouamd Ali , Asvad Fatemeh 
Published: May 2022

Background:
In recent years, there has been an increasing interest in using natural
food additives to improve the shelf life of marinated food.

Aim:
This research aimed to examine physicochemical changes promoted by a marinating process
in Halva Sya fish fillets during cold storage.

Methods:
Fish fillets were immersed in 500 ccs of lemon juice, 200 g of grated garlic, 60 g of
salt, 3 g of turmeric, 1 g of red pepper powder, 3 g of black pepper powder with 100 cc of distilled
water for preparation of traditional marinades and stored at -4 °C for 25 days. Some physicochemical
characteristics like pH and proximate composition were performed at 7, 18 and 25-
day intervals.

Results:
Results showed that although the values of proximate composition, energy values and
pH in marinated samples were different than control ones, the differences were insignificant
(p>0.05).

Conclusion:
The marinade sample in treatment 1 was found to be most acceptable, followed by
Marinade in treatment 3. The shelf-life of the marinated Halva Sya fish based on physicochemical
analyses at refrigerated storage (4 °C) was 7 days.
Pattern Classification for Ovarian Tumors by Integration of Radiomics
and Deep Learning Features
Authors: Liao Shengwu , Lu Zhentai , Liu Pengfei , Liang Xiaokang 
Published: May 2022

Background:
Ovarian tumor is a common female genital tumor, among which malignant
tumors have a poor prognosis. The survival rate of 70% of patients with ovarian cancer is less than 5
years, while benign ovarian tumor is better, so the early diagnosis of ovarian cancer is important for
the treatment and prognosis of patients.

Objectives:
Our aim is to establish a classification model for ovarian tumors.

Methods:
We extracted radiomics and deep learning features from patients’CT images. The four-step
feature selection algorithm proposed in this paper was used to obtain the optimal combination of features,
then, a classification model was developed by combining those selected features and support
vector machine. The receiver operating characteristic curve and an area under the curve (AUC) analysis
were used to evaluate the performance of the classification model in both the training and test cohort.

Results:
The classification model, which combined radiomics features with deep learning features,
demonstrated better classification performance with respect to the radiomics features model alone in
training cohort (AUC 0.9289 vs. 0.8804, P < 0.0001, accuracy 0.8970 vs. 0.7993, P < 0.0001), and
significantly improve the performance in the test cohort (AUC 0.9089 vs. 0.8446, P = 0.001, accuracy
0.8296 vs. 0.7259, P < 0.0001).

Conclusion:
The experiments showed that deep learning features play an active role in the construction
of classification model, and the proposed classification model achieved excellent classification performance,
which can potentially become a new auxiliary diagnostic tool.
Heavy and Chronic Cannabis Addiction does not Impact Motor Function: A BOLD-fMRI Study
Authors: Boujraf Saïd , Alami Badreeddine , Chikri Mohamed , El Hamdaoui Halima , Maaroufi Mustapha , Aalouane Rachid , Rammouz Ismail 
Published: May 2022

Objective:
The goal of this to demonstrate the impact of heavy and chronic cannabis use on
brain potential functional control, reorganization, and plasticity in the cortical area.

Methods:
23 cannabis users were convened in 3 groups of users. The first group included 11 volunteers
with an average of 15 joins/day; the second group included 6 volunteers with an average of 1.5
joins/day; the third group included 6 volunteers with an average of 2.8 joins/week. Besides, 6 healthy
volunteers in the control group, All healthy and cannabis users underwent identical brain BOLD-fMRI
assessments of their motor function. Besides, neuropsychological and full biological assessments were
achieved.

Results:
BOLD-fMRI maps of motor areas were obtained, including quantitative evaluation of the
activations in the motor area. A statistical analysis of various groups was achieved.

Conclusion:
Groups of chronic cannabis addiction of varying level of use were setup. Namely heavy,
moderate and low users groups; doses have been shown to have systematically equivalent effects on
the control of brain motor function. Indeed, the BOLD-fMRI shows a remarkable sensitivity to brain
plasticity and reorganization of the functional motor control of the studied cortical area, and such variation
was not shown. Specific elucidation of the effect of cannabis effect in this unique function
should clarify further protective pharmacological effects. This might illuminate the use of neuronal
resources to prepare processes for pharmacological use and pharmaceutical forms. This suggests
exploring any potential cannabis pharmaceutical form in diseases involving motor impairments.
An Insight through Various Models being used for Assessment of Depression
and its Management at Primary Level in Current Scenario
Authors: Bee Rizwana , Ahmad Mohammad , Verma Shashi 
Published: May 2022

Aim:
The main aim of present study to assess depression and various neurotransmitters
involved in it with their evaluating models.

Background:
Depression is a common ailment that can be recurrent or even become chronic. According
to the National Service Framework for Mental Health (released in 1999 by the Department
of Health), people with depression should continue to be treated primarily in primary care settings.
Despite mounting evidence that general practitioners could do a better job of detecting and treating
depression, little research has been done on the perspectives of general practitioners who treat patients
who are depressed. Depression (major depressive disorder) is a widespread and significant medical
condition that has a negative impact on feeling, thinking, and behaviour.

Objectives:
The primary goal of this study was to gather data on depression, as well as to discuss several
methods for evaluating antidepressant drug response based on physical activities and neurotransmitters.

Method:
Antidepressant activity of various medications can be tested using two different types of
studies, including in-vivo and in-vitro, according to the review.

Result:
Depression is characterized by a persistent sense of sadness, insomnia, lack of concentration,
slowness in activity, restlessness, social isolation and a loss of interest that prevents you from doing
normal things. There are several types of depression, with symptoms ranging from mild to severe. Depression
is caused by a combination of factors and conditions, rather than a single factor. Major depression
is a mental condition marked by feelings of inadequacy, hopelessness, decreased activity,
sadness and mood swings, which seriously disrupt and negatively affect a person's life, sometimes,
leading to suicidal thoughts. The quest for a better understanding of the causes of depression and the
development of more effective treatments is critical. According to clinical and preclinical research,
stress appears to be a crucial mediator in the pathophysiology of depression. Using experimental models,
depression may be assessed based on several physical parameters such as locomotor activity, rearing,
defecation, and the number of centre square entries (in vivo and in vitro). Biological parameters
may also be used to locate it.

Conclusion:
Unhappiness and loss of interest in previously enjoyed activities are the symptoms of depression.
It can cause emotional and physical problems, as well as a decrease in the ability to function
together at work and at home. Finally it has been concluded that various neurotransmitters are involved
in depression at the synaptic cleft which can be controlled using various synthetic and herbal
drugs through in vitro and in vivo evaluating models.
Antidiabetic Drugs and their Potential Use in COVID-19: A Mechanistic
Approach
Authors: Balderas-Renteria Isaias , Espinosa-Rodriguez Bryan Alejandro , Nieto-Moreno Aissa Michelle , Gonzalez Llerena Jose Luis , Rico-Torres Tania Alejandra , Carranza-Rosales Pilar , Mendez-Lopez Luis Fernando 
Published: May 2022

Abstract:
Many therapies have been developed against COVID-19 since it first appeared in December 2019. Antivirals, antimalarials, cephalosporins, colchicine, anticoagulants, and corticosteroids, among others, have been evaluated as protecting agents against antibacterial complications
due to their anti-inflammatory and immunomodulatory effects against thrombosis and cell death
caused by infection with SARS-CoV-2. Nevertheless, the overall balance in their application has
not been found to be satisfactory. On the other hand, developing and applying several vaccines
against this virus have marked an important watershed in preventive and prophylactic medicine in
the new millennium. However, given the regular efficacy reported of some of them, the still scarce
affordability, and the emergency of new strains for which no drug has been evaluated, the search
for new pharmacological therapy alternatives still represents an essential component in the clinical
management of COVID-19, and the rapid identification of drugs with potential antiviral and/or
immunomodulatory properties is needed. In the present review, a potential therapeutic effect of
metformin and other antidiabetic therapies for the management of COVID-19 are proposed and
discussed from the viewpoint of their in vitro and in vivo immunomodulatory effects. Given that
acute inflammation is an important component of COVID-19, antidiabetic therapies could be promising alternatives in its management and reducing the disease's severity. In order to understand how
metformin and other antidiabetic therapies could work in the context of COVID-19, here we review
the possible mechanisms of action through a detailed description of cellular and molecular events.