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Article ; Online: Does developing multiple-choice Questions Improve Medical Students’ Learning? A Systematic Review

Youness Touissi / Ghita Hjiej / Abderrazak Hajjioui / Azeddine Ibrahimi / Maryam Fourtassi

Medical Education Online, Vol 27, Iss

2022 Volume 1

Abstract: Practicing Multiple-choice questions is a popular learning method among medical students. While MCQs are commonly used in exams, creating them might provide another opportunity for students to boost their learning. Yet, the effectiveness of student- ... ...

Abstract	Practicing Multiple-choice questions is a popular learning method among medical students. While MCQs are commonly used in exams, creating them might provide another opportunity for students to boost their learning. Yet, the effectiveness of student-generated multiple-choice questions in medical education has been questioned. This study aims to verify the effects of student-generated MCQs on medical learning either in terms of students’ perceptions or their performance and behavior, as well as define the circumstances that would make this activity more useful to the students. Articles were identified by searching four databases MEDLINE, SCOPUS, Web of Science, and ERIC, as well as scanning references. The titles and abstracts were selected based on a pre-established eligibility criterion, and the methodological quality of articles included was assessed using the MERSQI scoring system. Eight hundred and eighty-four papers were identified. Eleven papers were retained after abstract and title screening, and 6 articles were recovered from cross-referencing, making it 17 articles in the end. The mean MERSQI score was 10.42. Most studies showed a positive impact of developing MCQs on medical students’ learning in terms of both perception and performance. Few articles in the literature examined the influence of student-generated MCQs on medical students learning. Amid some concerns about time and needed effort, writing multiple-choice questions as a learning method appears to be a useful process for improving medical students’ learning.
Keywords	multiple-choice-questions ; learning ; medical students ; medical education ; Special aspects of education ; LC8-6691 ; Medicine (General) ; R5-920
Subject code	028
Language	English
Publishing date	2022-12-01T00:00:00Z
Publisher	Taylor & Francis Group
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: The computational analyses, molecular dynamics of fatty-acid transport mechanism to the CD36 receptor

Jihane Akachar / Catherine Etchebest / Rachid El Jaoudi / Azeddine Ibrahimi

Scientific Reports, Vol 11, Iss 1, Pp 1-

2021 Volume 15

Abstract: Abstract The transmembrane glycoprotein CD36, which is responsible of the metabolic disorders, and the elevated intake of fat induces lipid buildup, is a multifunctional scavenger receptor signaling those functions in high-affinity tissue uptake of long- ... ...

Abstract	Abstract The transmembrane glycoprotein CD36, which is responsible of the metabolic disorders, and the elevated intake of fat induces lipid buildup, is a multifunctional scavenger receptor signaling those functions in high-affinity tissue uptake of long-chain fatty acids. In this study, we used series of molecular dynamics simulations of the wild type and mutants types K164A CD36 protein interacting with one palmitic acid (PLM) besides simulations of the wild type interacting with the three PLM to find out the mechanism of the functioning of the complex CD36/Fatty acids and the unraveling of the role of the mutation. Additionally we determined whether Lys164, mostly exposed to protein surface, played important roles in fatty acid uptake. These simulations revealed, the conformational changes induced by Lys164 residue and the altered interactions induced by the mutagenesis of surface lysine that was badly influencing the folding, utility, solubility, and stability form of the variant. Furthermore, Lys164 residue provided the structural basis of forming an opening at the region of principal portal for the dissociation of palmitic acid. The results of our simulations revealed hole two fatty acids found in CD36 cavity structure and it was the most preferred to CD36 structure stabilization.
Keywords	Medicine ; R ; Science ; Q
Subject code	612
Language	English
Publishing date	2021-12-01T00:00:00Z
Publisher	Nature Portfolio
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Targeted Gene Panel Sequencing Unveiled New Pathogenic Mutations in Patients With Breast Cancer

Souad Kartti / El Mehdi Bouricha / Oumaima Zarrik / Youssef Aghlallou / Chaimaa Mounjid / Rachid ELJaoudi / Lahcen Belyamani / Azeddine Ibrahimi / Basma EL khannoussi

Bioinformatics and Biology Insights, Vol

2023 Volume 17

Abstract: The increasing commercialization of new gene panels based on next-generation sequencing for clinical research has significantly improved our understanding of breast cancer genetics and has led to the discovery of new mutation variants. The study included ...

Abstract	The increasing commercialization of new gene panels based on next-generation sequencing for clinical research has significantly improved our understanding of breast cancer genetics and has led to the discovery of new mutation variants. The study included 16 unselected Moroccan breast cancer patients tested with multi-gene panel (HEVA screen panel) using Illumina Miseq, followed by Sanger sequencing to validate the most relevant mutation. Mutational analysis revealed the presence of 13 mutations (11 single-nucleotide polymorphisms [SNPs] and 2 indels), and 6 of 11 identified SNPs were predicted as pathogenic. One of the 6 pathogenic mutations was c.7874G>C, a heterozygous SNP in HD-OB domain of BRCA2 gene, which led to the arginine to threonine change at codon 2625 of the protein. This work describes the first case of a patient with breast cancer harboring this pathogenic variant and analyzes its functional impact using molecular docking and molecular dynamics simulation. Further experimental investigations are needed to validate its pathogenicity and to verify its association with breast cancer.
Keywords	Biology (General) ; QH301-705.5
Subject code	616
Language	English
Publishing date	2023-06-01T00:00:00Z
Publisher	SAGE Publishing
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Virtual docking screening and QSAR studies to explore AKT and mTOR inhibitors acting on PI3K in cancers

Ilham Kandoussi / Oussama Benherrif / Wiame Lakhlili / Jamal Taoufik / Azeddine Ibrahimi

Contemporary Oncology, Vol 24, Iss 1, Pp 5-

2020 Volume 12

Abstract: The phosphoinositide 3-kinase (PI3K) pathway is an important regulator of cell proliferation and metabolism. PI3K activation initiates a signal transduction cascade, of which the major effectors are the kinases AKT and mTOR. Aberrant activation of the ... ...

Abstract	The phosphoinositide 3-kinase (PI3K) pathway is an important regulator of cell proliferation and metabolism. PI3K activation initiates a signal transduction cascade, of which the major effectors are the kinases AKT and mTOR. Aberrant activation of the PI3K/AKT/mTOR pathway is frequently observed in many human malignancies and the combination of compounds simultaneously targeting different related molecules in the PI3K/AKT/mTOR pathway leads to synergistic activity. To explore the competing common ATP inhibitors PI3K/AKT and PI3K/mTOR we developed a model PI3K-SAR 2D which made it possible to predict the bioactivity of inhibitors of AKT and mTOR towards PI3K; the interaction of the best inhibitors was evaluated by docking analysis and compared to that of dactolisib and pictilisib. A PI3K-SAR model with a correlation coefficient (R2) of 0.81706 and an RMSE of 0.16029 was obtained, which was validated and evaluated by a cross-validation method, LOO. The most predicted AKT and mTOR inhibitors present respectively pIC50 activities between 9.26–9.93 and 9.59–9.87. After docking and several comparisons, inhibitors with better predictions showed better affinity and interaction with PI3K compared to pictilisib and dactolisib, so we found that 4 inhibitors of AKT and 14 mTOR inhibitors met the criteria of Lipinski and Veber and could be future drugs.
Keywords	qsar ; virtual screening ; pi3k/akt/mtor ; docking ; dual atp inhibitors ; Medicine ; R
Subject code	572
Language	English
Publishing date	2020-02-01T00:00:00Z
Publisher	Termedia Publishing House
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: IDbSV

Abdelmounim Essabbar / Souad Kartti / Tarek Alouane / Mohammed Hakmi / Lahcen Belyamani / Azeddine Ibrahimi

Frontiers in Medicine, Vol

An Open-Access Repository for Monitoring SARS-CoV-2 Variations and Evolution

2021 Volume 8

Abstract: Ending COVID-19 pandemic requires a collaborative understanding of SARS-CoV-2 and COVID-19 mechanisms. Yet, the evolving nature of coronaviruses results in a continuous emergence of new variants of the virus. Central to this is the need for a continuous ... ...

Abstract	Ending COVID-19 pandemic requires a collaborative understanding of SARS-CoV-2 and COVID-19 mechanisms. Yet, the evolving nature of coronaviruses results in a continuous emergence of new variants of the virus. Central to this is the need for a continuous monitoring system able to detect potentially harmful variants of the virus in real-time. In this manuscript, we present the International Database of SARS-CoV-2 Variations (IDbSV), the result of ongoing efforts in curating, analyzing, and sharing comprehensive interpretation of SARS-CoV-2's genetic variations and variants. Through user-friendly interactive data visualizations, we aim to provide a novel surveillance tool to the scientific and public health communities. The database is regularly updated with new records through a 4-step workflow (1—Quality control of curated sequences, 2—Call of variations, 3—Functional annotation, and 4—Metadata association). To the best of our knowledge, IDbSV provides access to the largest repository of SARS-CoV-2 variations and the largest analysis of SARS-CoV-2 genomes with over 60 thousand annotated variations curated from the 1,808,613 genomes alongside their functional annotations, first known appearance, and associated genetic lineages, enabling a robust interpretation tool for SARS-CoV-2 variations to help understanding SARS-CoV-2 dynamics across the world.
Keywords	SARS-CoV-2 ; COVID-19 ; genomic variations ; database ; mutation ; Medicine (General) ; R5-920
Subject code	020
Language	English
Publishing date	2021-12-01T00:00:00Z
Publisher	Frontiers Media S.A.
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Identifying epitopes for cluster of differentiation and design of new peptides inhibitors against human SARS-CoV-2 spike RBD by an in-silico approach

Jihane Akachar / El Mehdi Bouricha / Mohammed Hakmi / Lahcen Belyamani / Rachid El Jaoudi / Azeddine Ibrahimi

Heliyon, Vol 6, Iss 12, Pp e05739- (2020)

2020

Abstract: The coronavirus disease 19 (COVID-19) is a highly contagious and rapidly spreading infection caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). In some cases, the disease can be fatal which resulted in more than one million ... ...

Abstract	The coronavirus disease 19 (COVID-19) is a highly contagious and rapidly spreading infection caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). In some cases, the disease can be fatal which resulted in more than one million deaths worldwide according the WHO. Currently, there is no effective vaccine or treatment for COVID-19, however many small-molecule inhibitors have shown potent antiviral activity against SARS-CoV-2 and some of them are now under clinical trials. Despite their promising activities, the development of these small molecules for the clinical use can be limited by many factors like the off-target effect, the poor stability, and the low bioavailability. The clusters of differentiation CD147, CD209, CD299 have been identified as essential entry co-receptors for SARS-CoV-2 species specificity to humans, although the underlying mechanisms are yet to be fully elucidated. In this paper, protein-protein docking was utilized for identifying the critical epitopes in CD147, CD209 and CD299 which are involved in the binding with SARS-CoV-2 Spike receptor binding domain (RBD). The results of binding free energies showed a high affinity of SARS-CoV-2 RBD to CD299 receptor which was used as a reference to derive hypothetical peptide sequences with specific binding activities to SARS-CoV-2 RBD. Molecular docking and molecular dynamics simulations of the newly designed peptides showed favorable binding features and stability with SARS-CoV-2 RBD and therefore can be further considered as potential candidates in future anti-SARS CoV-2 drug discovery studies.
Keywords	Coronavirus 19 ; Molecular docking ; Molecular dynamics ; Peptide-based drugs ; Spike protein ; Cluster of differentiation ; Science (General) ; Q1-390 ; Social sciences (General) ; H1-99
Subject code	540
Language	English
Publishing date	2020-12-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Metagenomics Analysis of Breast Microbiome Highlights the Abundance of Rothia Genus in Tumor Tissues

Souad Kartti / Houda Bendani / Nasma Boumajdi / El Mehdi Bouricha / Oumaima Zarrik / Hajar EL Agouri / Mohamed Fokar / Youssef Aghlallou / Rachid EL Jaoudi / Lahcen Belyamani / Basma Elkhannoussi / Azeddine Ibrahimi

Journal of Personalized Medicine, Vol 13, Iss 450, p

2023 Volume 450

Abstract: Breast cancer is one of the main global priorities in terms of public health. It remains the most frequent cancer in women and is the leading cause of their death. The human microbiome plays various roles in maintaining health by ensuring a dynamic ... ...

Abstract	Breast cancer is one of the main global priorities in terms of public health. It remains the most frequent cancer in women and is the leading cause of their death. The human microbiome plays various roles in maintaining health by ensuring a dynamic balance with the host or in the appearance of various pathologies including breast cancer. In this study, we performed an analysis of bacterial signature differences between tumor and adjacent tissues of breast cancer patients in Morocco. Using 16S rRNA gene sequencing, we observed that adjacent tissue contained a much higher percentage of the Gammaproteobacteria class (35.7%) while tumor tissue was characterized by a higher percentage of Bacilli and Actinobacteria classes, with about 18.8% and 17.2% average abundance, respectively. Analysis of tumor subtype revealed enrichment of genus Sphingomonodas in TNBC while Sphingomonodas was predominant in HER2. The LEfSe and the genus level heatmap analysis revealed a higher abundance of the Rothia genus in tumor tissues. The identified microbial communities can therefore serve as potential biomarkers for prognosis and diagnosis, while also helping to develop new strategies for the treatment of breast cancer patients.
Keywords	breast cancer ; metagenomics ; 16s rRNA sequencing ; microbiome ; rhotia ; Medicine ; R
Subject code	610 ; 616
Language	English
Publishing date	2023-02-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Book ; Online: In Silico Exploration of Small-Molecule α-Helix Mimetics as Inhibitors of SARS-COV-2 Attachment to ACE2

Mohammed Hakmi / El Mehdi Bouricha / Jihane Akachar / Badreddine Lmimouni / Jaouad EL Harti / Lahcen Belyamani / Azeddine Ibrahimi

2020

Abstract: The novel coronavirus, SARS-CoV-2, has infected more than 10 million people and caused more than 502,539 deaths worldwide as of June 2020. The explosive spread of the virus and the rapid increase in the number of cases require the immediate development ... ...

Abstract	The novel coronavirus, SARS-CoV-2, has infected more than 10 million people and caused more than 502,539 deaths worldwide as of June 2020. The explosive spread of the virus and the rapid increase in the number of cases require the immediate development of effective therapies and vaccines as well as accurate diagnosis tools. The pathogenesis of the disease is triggered by the entry of SARS-CoV-2 via its spike protein into ACE2-bearing host cells, particularly pneumocytes, resulting in overactivation of the immune system, which attacks the infected cells and damages the lung tissue. The interaction of the SARS-CoV-2 receptor binding domain (RBD) with host cells is primarily mediated by the N-terminal helix of the ACE2; thus, inhibition of the spike-ACE2 interaction may be a promising therapeutic strategy for blocking the entry of the virus into host cells. In this paper, we used an in-silico approach to explore small-molecule α-helix mimetics as inhibitors that may disrupt the attachment of SARS-CoV-2 to ACE2. First, the RBD-ACE2 interface in the 6M0J structure was studied by the MM-GBSA decomposition module of the HawkDock server, which led to the identification of two critical target regions in the RBD. Next, two virtual screening experiments of 7236 α-helix mimetics from ASINEX were conducted on the above regions using the iDock tool, which resulted in 10 candidates with favorable binding affinities. Finally, the stability of RBD complexes with the top-two ranked compounds was further validated by 40 ns MD simulations using Desmond package of Schrodinger.
Keywords	Bioinformatics and Computational Biology ; Coronavirus ; SARS-COV-2 ; COVID-19 ; treatment ; α-helix mimetics ; ACE2 ; Spike ; virtual screening ; MD simulation ; covid19
Publishing date	2020-07-02T08:04:37Z
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Significant Association of Polymorphisms in the TCF7L2 Gene with a Higher Risk of Type 2 Diabetes in a Moroccan Population

Sarah Elhourch / Housna Arrouchi / Nour Mekkaoui / Younes Allou / Fatima Ghrifi / Loubna Allam / Naima Elhafidi / Lahcen Belyamani / Azeddine Ibrahimi / Naoual Elomri / Rachid Eljaoudi

Journal of Personalized Medicine, Vol 11, Iss 461, p

2021 Volume 461

Abstract: Background and aims: Several studies have shown that genetic polymorphisms of the transcription factor 7-like 2 (TCF7L2) are highly associated with the development of type 2 diabetes mellitus (T2DM) and its associated complications in several populations. ...

Abstract	Background and aims: Several studies have shown that genetic polymorphisms of the transcription factor 7-like 2 (TCF7L2) are highly associated with the development of type 2 diabetes mellitus (T2DM) and its associated complications in several populations. The aim of our study was to investigate the association of the rs7903146 (C/T) and rs12255372 (G/T) polymorphism in the TCF7L2 gene with the risk of developing T2DM in the Moroccan population. Material and methods: A total of 150 T2DM patients and 100 healthy controls were recruited for various anthropometric, biochemical and genetic parameters. Genotyping was performed by using Real Time-PCR. The frequency of genotypes, alleles, anthropometric measures, glycemia, glycated hemoglobin (HbA1c) were evaluated in patients and control, while lipid profile was available only for T2DM group. Results: Glycemia, HbA1c and body mass index (BMI) were significantly higher in T2DM group than control. Analysis of the distribution of the TCF7L2 rs7903146 genotype and allele revealed that the TT genotype was more frequent in T2DM group (24.0%) than in healthy controls (5%) (OR = 4.08, 95% confidence interval (CI = 1.95–11.80, p < 0.0001). The T allele was more frequent in diabetic patients (45.2%) than healthy control (34.5%) and it was associated with high risk of diabetes (OR = 2.13, 95% CI = 1.12–7.31, p = 0.005). The same results were found regarding rs12255372, TT genotype frequencies were 18,7% and 6.0% in T2DM and control group, respectively (OR = 3.11, 95% CI = 1.33–7.24, p = 0.004). The T allele was over-presented in diabetics compared to controls (45.3% and 38.0%, respectively) and increases the risk of T2DM (OR = 2.01, 95% CI = 1.04–3.10, p = 0.01). However, there was no significant difference between the three genotypes of rs7903146 and rs12255372 regarding age, BMI, glycemia, HbA1c and lipid profile. Conclusion: The present study confirmed a significant association of the TCF7L2 gene (rs7903146 (C/T) and rs12255372 (G/T) polymorphisms with a higher risk to T2DM ...
Keywords	type 2 diabetes ; genetic association ; transcription factor 7-like 2 (TCF7L2) ; polymorphism ; rs7903146(C/T) ; rs12255372(G/T) ; Medicine ; R
Subject code	616
Language	English
Publishing date	2021-05-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Targeting the GRP78-Dependant SARS-CoV-2 Cell Entry by Peptides and Small Molecules

Loubna Allam / Fatima Ghrifi / Hakmi Mohammed / Naima El Hafidi / Rachid El Jaoudi / Jaouad El Harti / Badreddine Lmimouni / Lahcen Belyamani / Azeddine Ibrahimi

Bioinformatics and Biology Insights, Vol

2020 Volume 14

Abstract: The global burden of infections and the rapid spread of viral diseases show the need for new approaches in the prevention and development of effective therapies. To this end, we aimed to explore novel inhibitor compounds that can stop replication or ... ...

Abstract	The global burden of infections and the rapid spread of viral diseases show the need for new approaches in the prevention and development of effective therapies. To this end, we aimed to explore novel inhibitor compounds that can stop replication or decrease the viral load of the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), for which there is currently no approved treatment. Besides using the angiotensin-converting enzyme (ACE2) receptor as a main gate, the CoV-2 can bind to the glucose-regulating protein 78 (GRP78) receptor to get into the cells to start an infection. Here, we report potential inhibitors comprising small molecules and peptides that could interfere with the interaction of SARS-CoV-2 and its target cells by blocking the recognition of the GRP78 cellular receptor by the viral Spike protein. These inhibitors were discovered through an approach of in silico screening of available databases of bioactive peptides and polyphenolic compounds and the analysis of their docking modes. This process led to the selection of 9 compounds with optimal binding affinities to the target sites. The peptides (satpdb18674, satpdb18446, satpdb12488, satpdb14438, and satpdb28899) act on regions III and IV of the viral Spike protein and on its binding sites in GRP78. However, 4 polyphenols such as epigallocatechin gallate (EGCG), homoeriodictyol, isorhamnetin, and curcumin interact, in addition to the Spike protein and its binding sites in GRP78, with the ATPase domain of GRP78. Our work demonstrates that there are at least 2 approaches to block the spread of SARS-CoV-2 by preventing its fusion with the host cells via GRP78.
Keywords	Biology (General) ; QH301-705.5
Language	English
Publishing date	2020-10-01T00:00:00Z
Publisher	SAGE Publishing
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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