bluuebunny/crossref_metadata_2025_split huggingface dataset:
Novel Lipidomes Profile and Clinical Phenotype Identified in Pneumoconiosis Patients
Authors: Chen Xiaoyang , Shi Liyong , Dai Xiaofang , Yan Furong , Lin Yujun , Lin Lianshun , Zhang Yongquan , Zeng Yiming 
Published: January 2022

Abstract
Pneumoconiosis is a group of occupational lung diseases caused by inhalation of particles of coal, asbestos, silica, or similar substances, leading to fibrosis and loss of lung function. It is the most serious and common occupational disease in the world with an increased incidence but poor prognosis. To further investigate the regulatory mechanisms of lipidomic profiles in pneumoconiosis, we measured plasma lipidomic profiles between pneumoconiosis patients and health. Compared with healthy people, the circulating levels of phosphatidylethanolamine (PE) significantly increased while phosphatidylcholines (PC) and lysophosphatidylcholines (lyso PC) decreased in patients with pneumoconiosis. Clinical trans-omics analyses demonstrated that phenomes in pneumoconiosis was closely correlated with multiple lipids. Our data suggested that trans-omic analysis between clinical phenomes and lipidomes might have the potential to uncover the heterogeneity of lipid metabolism of pneumoconiosis patients and to screen out clinically significant phenome-based lipid panels with potential diagnostic application.
Evaluating the Stability of Outang Landslide in the Three Gorges Reservoir Area Considering the Mechanical Behavior With Large Deformation of the Slip Zone
Authors: Yan Junbiao , Zou Zongxing , Mu Rui , Hu Xinli , Zhang Jincheng , Zhang Wen , Su Aijun , Wang Jinge , Luo Tao 
Published: January 2022

Abstract
The large deformation mechanical properties of slip zone soil play an important role in the stability evolution of landslide. The traditional landslide stability evaluation method can only be used to calculate a single stability factor, which cannot dynamically evaluate the landslide stability as it evolves. The large deformation mechanical properties of slip zone soil from Outang landslide in the Three Gorges Reservoir area are investigated by the indoor repeated direct shear test. Based on the damage theory, the shear damage behavior of slip zone soil with large shear displacement is analyzed, and a mechanical model describing the relationship between shear stress and shear displacement in accordance with the mechanical mechanism of landslide is established. Then, the stability of Outang landslide is dynamically evaluated by skillfully combining the mechanical model and the residual thrust method. The results show that the slip zone soil has obvious softening behavior and constant residual strength under the condition of large deformation. The model with clear physical meaning can reflect the large displacement shear mechanical properties of slip zone soil, which is consistent with the test results. The stability factor of Outang landslide gradually decreases and tends to be constant as landslide moves. The mechanical mechanism of the landslide stability evolving with deformation is the strain softening behavior of the slip zone soil, and the mechanical mechanism of the landslide stability evolving with water level is the reduction of effective stress in anti-sliding section under the influence of reservoir water. It is suggested that active measures should be taken in time in the prevention and control of landslide, and the construction of drainage engineering should be paid attention to for large-scale bank landslides.
Prognostic Value and Computer Image Analysis of p53 in Mantle cell Lymphoma
Authors: Gao Li-Min , Zhang Yue-Hua , Xiang Xiao-Yu , Liu Wei-Ping , Zhang Wen-Yan 
Published: January 2022

Abstract
Background: P53 has different prognostic cutoff values in different mantle cell lymphoma (MCL) studies, and p53 immunohistochemistry (IHC) interpretation is still based on semiquantitative estimation, which might be inaccurate. This study aimed to investigate the optimal cutoff value of p53 for predicting prognosis and the possible use of computer image analysis to identify the positive rate of p53 in patients with MCL. Methods: We used QuPath software to determine the p53 positive rate and compared it to the data obtained by manual counting and semiquantitative estimation. Using the Youden index and Kaplan–Meier survival curve analysis, we generated survival curves. The chi-squared (χ2) test was used to compare MCL cell morphology with p53. Spearman rank correlation test and Bland–Altman analysis were used to compare manual counting, computer image analysis and semiquantitative estimation. Results: The optimal cutoff value of p53 for predicting prognosis was 20% in MCL patients. Patients with p53 ≥ 20% had a significantly worse overall survival (OS) than those with p53 < 20% (P < 0.0001). MCL patients with blastoid/pleomorphic variant cell morphology had more p53 ≥ 20% than the classical type (P < 0.0001). There was a strong correlation between computer image analysis and manual counting of p53 from the same areas in MCL tissues (Spearman's rho = 0.966, P < 0.0001). Conclusions: MCL patients with p53 ≥ 20% have a shorter OS and a tendency toward the blastoid/pleomorphic variant. Computer image analysis could determine the actual positive rate of p53 and is a more attractive alternative than semiquantitative estimation in MCL.
Pearls from the First Gulf Cardiac Amyloidosis Summit 2021
Authors: Shehab Abdullah , Todorova Albena , Ahmed Aysha , Gonzalez-Lopez Esther , Knebel Fabian , Alibazoglu Haluk , Sabbour Hani , Romany Ingy , Krsnik Isabel , Al Ali Juwairiah , Al Humood Khaldoon , Fontana Marianna , Al Zidjali Matlooba , Shah Nishant R. 
Published: January 2022

Abstract:
These proceedings from the First Gulf Cardiac Amyloidosis Summit held in June 2021 aimed to increase awareness of cardiac
amyloidosis among the wider medical community in the region. Although the clinical presentation of cardiac amyloidosis is highly variable, a
number of ‘red flags’ have been identified to raise suspicion of the disease and prompt further investigation. Accurate diagnosis of cardiac
amyloidosis is challenging and relies on the integration of clinical, imaging and laboratory investigations. Recent imaging techniques, including
bone scintigraphy together with a complete serum and urine workup, allow, in the majority of patients, accurate non-invasive diagnosis without the
need for confirmatory endomyocardial biopsies. Early differential diagnosis between light-chain (AL) amyloidosis and amyloid transthyretin
amyloidosis (ATTR) is critical for timely delivery of appropriate therapy. AL amyloidosis is a medical emergency requiring chemotherapy and
supportive care. Treatment for ATTR-amyloidosis is most effective when administered early, before development of significant symptoms or
cardiac dysfunction. Optimal management of patients involves close collaboration between multidisciplinary specialists, which may include
hematologists, cardiologists, and other subspecialists, ideally at a designated specialty center with interest and expertise in amyloidosis.
Kinase Inhibitors Involved in the Regulation of Autophagy: Molecular Concepts and Clinical Implications
Authors: Al-Huseini Isehaq , Sirasanagandla Srinivasa Rao , Babu Kondaveeti Suresh , Sofin Ramakrishna Gopala Sumesh , Das Srijit 
Published: January 2022

Abstract:All cells and intracellular components are remodeled and recycled in order to replace the old and damaged cells. Autophagy is a process by which damaged, and unwanted cells are degraded in the lysosomes. There are three different types of autophagy: macroautophagy, microautophagy, and chaperone-mediated autophagy. Autophagy has an effect on adaptive and innate immunity, suppression of any tumour, and the elimination of various microbial pathogens. The process of autophagy has both positive and negative effects, and this pertains to any specific disease or its stage of progression. Autophagy involves various processes which are controlled by various signaling pathways, such as Jun N-terminal kinase, GSK3, ERK1, Leucine-rich repeat kinase 2, and PTEN-induced putative kinase 1 and parkin RBR E3. Protein kinases are also important for the regulation of autophagy as they regulate the process of autophagy either by activation or inhibition. The present review discusses the kinase catalyzed phosphorylated reactions, the kinase inhibitors, types of protein kinase inhibitors and their binding properties to protein kinase domains, the structures of active and inactive kinases, and the hydrophobic spine structures in active and inactive protein kinase domains. The intervention of autophagy by targeting specific kinases may form the mainstay of treatment of many diseases and lead the road to future drug discovery.
Retracted: Meet the Editorial Board Member
Authors: Vargo-Gogola Tracy 
Published: January 2022

Meet the editorial board member page has been retracted at the request of editorial board member of the journal “Current Drug Targets”.

Bentham Science apologizes to the readers of the journal for any inconvenience this may have caused. The Bentham Editorial Policy on Article Withdrawal can be found at https://benthamscience.com/editorial-policies-main.php.

BENTHAM SCIENCE DISCLAIMER:
It is a condition of publishers that manuscripts submitted to this journal should not be simultaneously submitted or published elsewhere. Furthermore, any data, illustration, structure or table that has been published elsewhere must be reported, and copyright permission for reproduction must be obtained. Plagiarism is strictly forbidden, and while submitting the article for publication, the authors agree that the publishers have the legal right to take appropriate action against the authors if plagiarism or fabricated information is discovered. By submitting a manuscript, the authors agree that the copyright of their article is transferred to the publishers, if and when the article is accepted for publication.
The Role of LncRNA TUG1 in Obesity-related Diseases
Authors: Xue Mengzhen , Xia Fangqi , Wang Yaqi , Zhu Leiqi , Li Yuanyang , Jia Dengke , Gao Yan , Shi Yue , Zhang Changcheng , He Yumin , Liu Chaoqi , Yuan Ding , Yuan Chengfu 
Published: January 2022

Abstract:
As the living standards of people are increasingly improved, obesity has become a hotspot
in our daily life. Obesity has been found as a chronic and recurrent disease with serious adverse consequences.
Over the past few years, several articles indicated that long non-coding RNA taurine increased
gene 1 (lncRNA TUG1), a useful RNA, which was indicated to show a relationship to obesity-
related disease occurrence and development. Exosomes are recognized as an emerging research
field that includes substances actively involved in regulating the molecular mechanisms of disease.
This review summarizes the current relevant TUG1 in different molecular pathways of obesityassociated
diseases, the correlation between exosomes and TUG1, or obesity-associated diseases. The
aim is to explore TUG1 as a novel target for obesity, which can deepen the knowledge regarding the
epigenetic regulation pathway. Furthermore, it is expected to focus on diseases associated with obesity
treatment and diagnosis.
Experimental Determination of Cancer Drug Targets with Independent
Mechanisms of Resistance
Authors: Ashton John C. , Bland Abigail R. , Shrestha Nensi , Berry Maddie , Wilson Christabel 
Published: January 2022

Abstract:
Mathematical modelling of tumour mutation dynamics has suggested that cancer drug
targets that have different resistance mechanisms should be good candidates for combination treatment.
This is because the development of mutations that cause resistance to all drugs at once
should arise relatively infrequently. However, it is difficult to identify drug targets fulfilling this requirement
for particular cancers. Here we present four experimental criteria that we argue are necessary
(but not sufficient) conditions that drug combinations should meet in order to be considered
for combination drug treatment aimed at delaying or overcoming cancer drug resistance. We
present the results of our own experiments - guided by these criteria - using anaplastic lymphoma
kinase mutated lung cancer cells. Each set of experiments demonstrate results for different drug
combinations. We conclude that the combination of ALK and MEK inhibitors come closest to
meeting all our criteria.
Combined Transarterial Chemoembolization with Microwave Ablation
versus Microwave Alone for Treatment of Medium Sized Hepatocellular
Carcinoma
Authors: El-Agawy Waleed , El-Ganainy Sara Ahmed , Gad Magdy Abd Almawgoud , Abd-Elsalam Sherief , Mostafa Wessam Abd Alltaif , El-Shewi Mohammed El-Sayed 
Published: January 2022

Background & Aims:
Hepatocellular carcinoma (HCC) is the fifth most common cancer
and the second leading cause of cancer-related deaths. The only definitive treatment for both HCC
and cirrhosis is liver transplantation, but long wait times in some regions and a relatively fixed
number of donor organs negatively impact access to liver transplantation. The aim of the work was
to evaluate and compare the short outcome of patients with medium-sized HCC who will undergo
percutaneous microwave ablation (MWA) alone and in combination with TACE.

Methods:
This prospective study included 40 patients with medium-sized HCC lesions who were
classified into two groups; Group A that included twenty patients treated by TACE followed by percutaneous
MWA after 2 weeks and group B that included twenty patients treated by 2 sessions of
percutaneous MWA with 2 weeks interval. Full history taking, clinical examination, laboratory investigation,
abdominal ultrasonography and abdominal tri-phasic computed tomography (CT) with
contrast were obtained from the two groups. Laboratory and radiological follow up of the cases
were done at 1 and 3 months after the treatment.

Results:
There was no statistically significant difference in the sociodemographic criteria, laboratory
measurement and clinical criteria between the cases in the two study groups before initiation of
treatment. The response was slightly better in the combined treatment group, but it did not show a
statistically significant difference. The incidence of complications was higher in the MWA group.

Conclusion::
Hepatocellular carcinoma is a common complication of HCV related cirrhosis. Association
of TACE-MWA led to better response rates than MWA with fewer complications.
The Role of Flavonoids in Inhibiting IL-6 and Inflammatory Arthritis
Authors: Mahmoud Ayman M. , Sayed Ahmed M. , Ahmed Osama S. , Abdel-Daim Mohamed M. , Hassanein Emad H.M. 
Published: January 2022

Abstract:
Rheumatoid arthritis (RA) is a chronic autoimmune disease that primarily affects the synovial
joints. RA has well-known clinical manifestations and can cause progressive disability and premature
death along with socioeconomic burdens. Interleukin-6 (IL-6) has been implicated in the pathology
of RA where it can stimulate pannus formation, osteoclastogenesis, and oxidative stress. Flavonoids
are plant metabolites with beneficial pharmacological effects, including anti-inflammatory,
antioxidant, antidiabetic, anticancer, etc. Flavonoids are polyphenolic compounds found in a variety
of plants, vegetables, and fruits. Many flavonoids have demonstrated anti-arthritic activity mediated
mainly through the suppression of pro-inflammatory cytokines. This review thoroughly discusses the
accumulated data on the role of flavonoids on IL-6 in RA.
A Comprehensive Review on Current Perspectives of Flavonoids as Antimicrobial Agent
Authors: Gupta Tanya , Kataria Ritu , Sardana Satish 
Published: January 2022

Abstract:Flavonoids are the secondary plant metabolites with diversities of pharmacological activities like antioxidant, anticancer, anti-inflammatory, hepatoprotective, free radical scavenging activity and antiviral activities. Flavonoids have also been proved as a major contributor to the antimicrobial phytochemicals. Being the major substituent of antibiotics today flavonoids has attained high attention as there is increase in persistence of untreatable microbial infections due to microbial resistance. This review demonstrates the screening, isolation of extracts and derivatisation of various flavonoids and their evaluation for antimicrobial potency. Recent advancements of various derivatives of flavonoids having antimicrobial activity has also been discussed in this review. This review helps researchers to get vast knowledge about flavonoids and also give an idea for current scenario of flavonoids and its applications as antimicrobial agent.
Natural Products as Sources of Multitarget Compounds: Advances in the
Development of Ferulic Acid as Multitarget Therapeutic
Authors: Kaur Rajwinder , Sood Ankita , Lang Damanpreet Kaur , Arora Rashmi , Kumar Neeraj , Diwan Vishal , Saini Balraj 
Published: January 2022

Abstract:
Nature has provided therapeutic substances for millennia, with many valuable medications
derived from plant sources. Multitarget drugs become essential in the management of various
disorders, including hepatic disorders, neurological disorders, diabetes, and carcinomas. Ferulic
acid is a significant potential therapeutic agent, which is easily available at low cost, possesses a
low toxicity profile, and has minimum side effects. Ferulic acid exhibits various therapeutic actions
by modulation of various signal transduction pathways such as Nrf2, p38, and mTOR. The actions
exhibited by ferulic acid include anti-apoptosis, antioxidant, anti-inflammatory, antidiabetic, anticarcinogenic,
hepatoprotection, cardioprotection, activation of transcriptional factors, expression of
genes, regulation of enzyme activity, and neuroprotection, which further help in treating various
pathophysiological conditions such as cancer, skin diseases, brain disorders, diabetes, Parkinson’s
disease, Alzheimer’s disease, hypoxia, hepatic disorders, H1N1 flu, and viral infections. The current
review focuses on the significance of natural products as sources of multitarget compounds,
and a primary focus has been made on ferulic acid and its mechanism, role, and protective action in
various ailments.
Recent Advances in Classification of Brain Tumor from MR Images –
State of the Art Review from 2017 to 2021
Authors: Latif Ghazanfar , Al Anezi Faisal Yousif , Iskandar D.N.F. Awang , Bashar Abul , Alghazo Jaafar 
Published: January 2022

Background:
The task of identifying a tumor in the brain is a complex problem that requires
sophisticated skills and inference mechanisms to accurately locate the tumor region. The complex nature
of the brain tissue makes the problem of locating, segmenting, and ultimately classifying Magnetic Resonance
(MR) images a complex problem. The aim of this review paper is to consolidate the details of
the most relevant and recent approaches proposed in this domain for the binary and multi-class classification
of brain tumors using brain MR images.

Objective:
In this review paper, a detailed summary of the latest techniques used for brain MR image
feature extraction and classification is presented. A lot of research papers have been published recently
with various techniques proposed for identifying an efficient method for the correct recognition and
diagnosis of brain MR images. The review paper allows researchers in the field to familiarize themselves
with the latest developments and be able to propose novel techniques that have not yet been explored
in this research domain. In addition, the review paper will facilitate researchers who are new to
machine learning algorithms for brain tumor recognition to understand the basics of the field and pave
the way for them to be able to contribute to this vital field of medical research.

Results:
In this paper, the review is performed for all recently proposed methods for both feature extraction
and classification. It also identifies the combination of feature extraction methods and classification
methods that, when combined, would be the most efficient technique for the recognition and diagnosis
of brain tumor from MR images. In addition, the paper presents the performance metrics, particularly
the recognition accuracy, of selected research published between 2017-2021.
Phytochemical Investigation and Cytotoxic Profile of Genistein Isolated
from the Cytisus scoparius Linn. on Topoisomerase II
Authors: Chaitanya MVNL , Papathoti Narendra Kumar , Usamo Firehiwot Belayneh , Palanisami Dhanabal , Selvaraj Jubie , Thangavelu Prabha 
Published: January 2022

Background:
Genistein is one of many new cytotoxic drug leads that have been discovered
recently. It is a well-studied chemopreventive drug that has attracted the attention of the scientific
community due to its favourable effects on grave illnesses in humans such as cancer.

Objective:
The present study focuses on the methanolic extraction, isolation, and characterization
of an isoflavone, genistein, from the weed plant of Cytisus scoparius Linn. (family: Fabaceae).

Methods:
The phytochemical structure of genistein was confirmed by its spectral and chromatography
analysis through IR, HPTLC, LCMS, NMR, etc. The total flavonoid fraction of methanolic extracts
containing genistein was evaluated for in-vitro cytotoxic activity on cervical cancer HeLa
cells using MTT assay, cell cycle analysis, and topoisomerase II inhibitory activity.

Results:
The result of the in-vitro cytotoxicity study showed the IC50 value of 4.5 μg/ml, which
shows that the isolated compound is cytotoxic. The result of cell cycle analysis revealed the cell arrest
at a sub-G phase, which shows that the isolated compound was apoptotic. Moreover, the human
topoisomerase II assay proved that it is an excellent human topoisomerase II inhibitor at 10
μg/ml.

Conclusion:
These findings revealed that genistein increased cytotoxicity and cell arrest owing to
human topoisomerase II inhibitory activity and thus it may be an anti-cancer component. The relationship
between the phytochemical structural analysis of this compound and its bioactivities is discussed.
A Novel Uric Acid Biosensor Based on Regular Prussian Blue Nanocrystal/
Upright Graphene Oxide Array Nanocomposites
Authors: Yin Shiyu , Wang Jikui , Zhu Yongbao , Song Lingyu , Wu Tingxia , Zhang Zhiyi , Zhang Xianbo , Li Fan , Chen Guosong 
Published: January 2022

Background:
Uric acid (UA) is an important metabolic intermediate of the human body. Abnormally
high levels of UA will cause diseases. However, UA monitoring with commercial products relies
on invasive blood collection, which not only causes pain in patients but also risks bacterial infections
and skin irritation. In recent years, new models of noninvasive detection through body surface penetration
have raised higher expectations for the sensitivity of uric acid detection, and rapid, accurate and highly
sensitive UA sensors will become powerful tools for the diagnosis of UA-related diseases.

Objective:
This study aimed to identify the differences in catalytic efficiency between regular PB from
spray crystallization (RPB) and irregular PB from electrodeposition (EDPB), which is used for fabricate a
high sensitive uric acid sensor.

Method:
Regular Prussian blue nanocrystals (RPB) were grown on graphene oxide flakes (GO), on the
surface of a custom screen-printed carbon electrode (SPCE), using a spray method assisted by a constant
magnetic field (CMF). After immobilizing uricase, the uric acid biosensor Uricase/RPB/CMF-GO/SPCE
was obtained.

Result:
The detection range of the sensor response to UA was 0.005~2.525 mM, and the detection limit
was as low as 3.6 μM. The cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS)
results showed that compared to amorphous electrodeposited Prussian blue (EDPB), RPB more favorably
accelerated electron transport.

Conclusion:
This novel uric acid biosensor exhibits high sensitivity over a wide concentration range,
strong anti-interference ability, and good stability and reproducibility. Thus, it has good application prospects
for determining uric acid in physiological samples.