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Authors = Alsamman M. Alsamman ORCID = 0000-0002-7765-5035

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31 pages, 9055 KiB  
Article
Unravelling the Antimicrobial, Antibiofilm, Suppressing Fibronectin Binding Protein A (fnba) and cna Virulence Genes, Anti-Inflammatory and Antioxidant Potential of Biosynthesized Solanum lycopersicum Silver Nanoparticles
by Alsayed E. Mekky, Ahmed E. M. Abdelaziz, Fady Sayed Youssef, Shymaa A. Elaskary, Aly A. Shoun, Eman A. Alwaleed, Mahmoud Ali Gaber, Abdulaziz A. Al-Askar, Alhadary M. Alsamman, Abdullah Yousef, Gehad AbdElgayed, Reda A. Suef, Mohamed A Selim, Ebrahim Saied and Mohamed Khedr
Medicina 2024, 60(3), 515; https://doi.org/10.3390/medicina60030515 - 21 Mar 2024
Cited by 8 | Viewed by 3402
Abstract
Background and Objectives: Urinary tract infections [UTIs] are considered the third most known risk of infection in human health around the world. There is increasing appreciation for the pathogenicity of Gram-positive and Gram-negative strains in UTIs, aside from fungal infection, as they [...] Read more.
Background and Objectives: Urinary tract infections [UTIs] are considered the third most known risk of infection in human health around the world. There is increasing appreciation for the pathogenicity of Gram-positive and Gram-negative strains in UTIs, aside from fungal infection, as they have numerous virulence factors. Materials and Methods: In this study, fifty urine samples were collected from patients suffering from UTI. Among the isolates of UTI microbes, six isolates were described as MDR isolates after an antibiotic susceptibility test carried out using ten different antibiotics. An alternative treatment for microbial elimination involved the use of biosynthesized silver nanoparticles (AgNPs) derived from Solanum lycopersicum [S. cumin]. Results: The sizes and shapes of AgNPs were characterized through TEM imaging, which showed spherical particles in a size range of 35–80 nm, of which the average size was 53 nm. Additionally, the silver nanoparticles (AgNPs) demonstrated inhibitory activity against Staphylococcus aureus (OR648079), exhibiting a 31 mm zone of inhibition at a minimum inhibitory concentration (MIC) of 4 mg/mL and a minimum bactericidal concentration (MBC) of 8 mg/mL. This was followed by Aspergillus niger (OR648075), which showed a 30 mm inhibition zone at an MIC of 16 mg/mL and a minimum fungicidal concentration (MFC) of 32 mg/mL. Then, Enterococcus faecalis (OR648078), Klebsiella pneumoniae (OR648081), and Acinetobacter baumannii (OR648080) each displayed a 29 mm zone of inhibition at an MIC of 8 mg/mL and an MBC of 16 mg/mL. The least inhibition was observed against Candida auris (OR648076), with a 25 mm inhibition zone at an MIC of 16 mg/mL and an MFC of 32 mg/mL. Furthermore, AgNPs at different concentrations removed DPPH and H2O2 at an IC50 value of 13.54 μg/mL. Also, AgNPs at 3 mg/mL showed remarkable DNA fragmentation in all bacterial strains except Enterococcus faecalis. The phytochemical analysis showed the presence of different active organic components in the plant extract, which concluded that rutin was 88.3 mg/g, garlic acid was 70.4 mg/g, and tannic acid was 23.7 mg/g. Finally, AgNPs concentrations in the range of 3–6 mg/mL showed decreased expression of two of the fundamental genes necessary for biofilm formation within Staphylococcus aureus, fnbA (6 folds), and Cna (12.5 folds) when compared with the RecA gene, which decreased by one-fold when compared with the control sample. These two genes were submitted with NCBI accession numbers [OR682119] and [OR682118], respectively. Conclusions: The findings from this study indicate that biosynthesized AgNPs from Solanum lycopersicum exhibit promising antimicrobial and antioxidant properties against UTI pathogens, including strains resistant to multiple antibiotics. This suggests their potential as an effective alternative treatment for UTIs. Further research is warranted to fully understand the mechanisms of action and to explore the therapeutic applications of these nanoparticles in combating UTIs. Full article
(This article belongs to the Special Issue The Antimicrobial Peptides and Their Therapeutic Potential)
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12 pages, 1481 KiB  
Review
Unlocking the Potential of Acetazolamide: A Literature Review of an Adjunctive Approach in Heart Failure Management
by Michael Sabina, Zein Barakat, Adrian Feliciano, Andrew Lamb and M Mrhaf Alsamman
J. Clin. Med. 2024, 13(1), 288; https://doi.org/10.3390/jcm13010288 - 4 Jan 2024
Cited by 6 | Viewed by 5820
Abstract
Background: Heart failure (HF) patients often experience persistent fluid overload despite standard diuretic therapy. The adjunctive use of acetazolamide, a carbonic anhydrase inhibitor, in combination with loop diuretics has shown promise in improving decongestion and diuretic efficacy. This literature review aims to analyze [...] Read more.
Background: Heart failure (HF) patients often experience persistent fluid overload despite standard diuretic therapy. The adjunctive use of acetazolamide, a carbonic anhydrase inhibitor, in combination with loop diuretics has shown promise in improving decongestion and diuretic efficacy. This literature review aims to analyze six studies evaluating the effectiveness of acetazolamide as an additive treatment for acute decompensated heart failure (ADHF) and its impact on various outcomes. Methods: We searched the PubMed database using the terms “acetazolamide heart failure”. We refined our search with specific filters (as shown our PRISMA flow diagram) and exclusion criteria, narrowing down our results to five studies. We included an extra study via expert recommendation, ultimately including six studies for comprehensive analysis. Results: The review highlights the positive effects of acetazolamide on decongestion, natriuresis, and diuresis in HF patients. However, it also showcases the limitations of these trials. Discussion: While the reviewed studies demonstrate the potential benefits of acetazolamide in enhancing decongestion and diuretic efficiency, there are limitations to consider, including small sample sizes, lack of blinding, and limited external validity. Further research is needed to confirm these findings, compare acetazolamide with other diuretic combinations, and explore its effects in a broader population of heart failure patients, including those in the United States. The use of acetazolamide in HF management warrants continued investigation to optimize its role in improving decongestion and patient outcomes. Full article
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15 pages, 17686 KiB  
Article
Unraveling the Dysbiosis of Vaginal Microbiome to Understand Cervical Cancer Disease Etiology—An Explainable AI Approach
by Karthik Sekaran, Rinku Polachirakkal Varghese, Mohanraj Gopikrishnan, Alsamman M. Alsamman, Achraf El Allali, Hatem Zayed and George Priya Doss C
Genes 2023, 14(4), 936; https://doi.org/10.3390/genes14040936 - 18 Apr 2023
Cited by 8 | Viewed by 3543
Abstract
Microbial Dysbiosis is associated with the etiology and pathogenesis of diseases. The studies on the vaginal microbiome in cervical cancer are essential to discern the cause and effect of the condition. The present study characterizes the microbial pathogenesis involved in developing cervical cancer. [...] Read more.
Microbial Dysbiosis is associated with the etiology and pathogenesis of diseases. The studies on the vaginal microbiome in cervical cancer are essential to discern the cause and effect of the condition. The present study characterizes the microbial pathogenesis involved in developing cervical cancer. Relative species abundance assessment identified Firmicutes, Actinobacteria, and Proteobacteria dominating the phylum level. A significant increase in Lactobacillus iners and Prevotella timonensis at the species level revealed its pathogenic influence on cervical cancer progression. The diversity, richness, and dominance analysis divulges a substantial decline in cervical cancer compared to control samples. The β diversity index proves the homogeneity in the subgroups’ microbial composition. The association between enriched Lactobacillus iners at the species level, Lactobacillus, Pseudomonas, and Enterococcus genera with cervical cancer is identified by Linear discriminant analysis Effect Size (LEfSe) prediction. The functional enrichment corroborates the microbial disease association with pathogenic infections such as aerobic vaginitis, bacterial vaginosis, and chlamydia. The dataset is trained and validated with repeated k-fold cross-validation technique using a random forest algorithm to determine the discriminative pattern from the samples. SHapley Additive exPlanations (SHAP), a game theoretic approach, is employed to analyze the results predicted by the model. Interestingly, SHAP identified that the increase in Ralstonia has a higher probability of predicting the sample as cervical cancer. New evidential microbiomes identified in the experiment confirm the presence of pathogenic microbiomes in cervical cancer vaginal samples and their mutuality with microbial imbalance. Full article
(This article belongs to the Special Issue Bioinformatics of Sequencing Data: A Machine Learning Approach)
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33 pages, 1053 KiB  
Review
The Implication of Mechanistic Approaches and the Role of the Microbiome in Polycystic Ovary Syndrome (PCOS): A Review
by Anirban Goutam Mukherjee, Uddesh Ramesh Wanjari, Sandra Kannampuzha, Reshma Murali, Arunraj Namachivayam, Raja Ganesan, Abhijit Dey, Achsha Babu, Kaviyarasi Renu, Balachandar Vellingiri, Gnanasambandan Ramanathan, George Priya Doss C., Nehal Elsherbiny, Amira M. Elsherbini, Alsamman M. Alsamman, Hatem Zayed and Abilash Valsala Gopalakrishnan
Metabolites 2023, 13(1), 129; https://doi.org/10.3390/metabo13010129 - 14 Jan 2023
Cited by 29 | Viewed by 7863
Abstract
As a complex endocrine and metabolic condition, polycystic ovarian syndrome (PCOS) affects women’s reproductive health. These common symptoms include hirsutism, hyperandrogenism, ovulatory dysfunction, irregular menstruation, and infertility. No one knows what causes it or how to stop it yet. Alterations in gut microbiota [...] Read more.
As a complex endocrine and metabolic condition, polycystic ovarian syndrome (PCOS) affects women’s reproductive health. These common symptoms include hirsutism, hyperandrogenism, ovulatory dysfunction, irregular menstruation, and infertility. No one knows what causes it or how to stop it yet. Alterations in gut microbiota composition and disruptions in secondary bile acid production appear to play a causative role in developing PCOS. PCOS pathophysiology and phenotypes are tightly related to both enteric and vaginal bacteria. Patients with PCOS exhibit changed microbiome compositions and decreased microbial diversity. Intestinal microorganisms also alter PCOS patient phenotypes by upregulating or downregulating hormone release, gut-brain mediators, and metabolite synthesis. The human body’s gut microbiota, also known as the “second genome,” can interact with the environment to improve metabolic and immunological function. Inflammation is connected to PCOS and may be caused by dysbiosis in the gut microbiome. This review sheds light on the recently discovered connections between gut microbiota and insulin resistance (IR) and the potential mechanisms of PCOS. This study also describes metabolomic studies to obtain a clear view of PCOS and ways to tackle it. Full article
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18 pages, 19743 KiB  
Article
Decoding Diabetes Biomarkers and Related Molecular Mechanisms by Using Machine Learning, Text Mining, and Gene Expression Analysis
by Amira M. Elsherbini, Alsamman M. Alsamman, Nehal M. Elsherbiny, Mohamed El-Sherbiny, Rehab Ahmed, Hasnaa Ali Ebrahim and Joaira Bakkach
Int. J. Environ. Res. Public Health 2022, 19(21), 13890; https://doi.org/10.3390/ijerph192113890 - 26 Oct 2022
Cited by 15 | Viewed by 4224
Abstract
The molecular basis of diabetes mellitus is yet to be fully elucidated. We aimed to identify the most frequently reported and differential expressed genes (DEGs) in diabetes by using bioinformatics approaches. Text mining was used to screen 40,225 article abstracts from diabetes literature. [...] Read more.
The molecular basis of diabetes mellitus is yet to be fully elucidated. We aimed to identify the most frequently reported and differential expressed genes (DEGs) in diabetes by using bioinformatics approaches. Text mining was used to screen 40,225 article abstracts from diabetes literature. These studies highlighted 5939 diabetes-related genes spread across 22 human chromosomes, with 112 genes mentioned in more than 50 studies. Among these genes, HNF4A, PPARA, VEGFA, TCF7L2, HLA-DRB1, PPARG, NOS3, KCNJ11, PRKAA2, and HNF1A were mentioned in more than 200 articles. These genes are correlated with the regulation of glycogen and polysaccharide, adipogenesis, AGE/RAGE, and macrophage differentiation. Three datasets (44 patients and 57 controls) were subjected to gene expression analysis. The analysis revealed 135 significant DEGs, of which CEACAM6, ENPP4, HDAC5, HPCAL1, PARVG, STYXL1, VPS28, ZBTB33, ZFP37 and CCDC58 were the top 10 DEGs. These genes were enriched in aerobic respiration, T-cell antigen receptor pathway, tricarboxylic acid metabolic process, vitamin D receptor pathway, toll-like receptor signaling, and endoplasmic reticulum (ER) unfolded protein response. The results of text mining and gene expression analyses used as attribute values for machine learning (ML) analysis. The decision tree, extra-tree regressor and random forest algorithms were used in ML analysis to identify unique markers that could be used as diabetes diagnosis tools. These algorithms produced prediction models with accuracy ranges from 0.6364 to 0.88 and overall confidence interval (CI) of 95%. There were 39 biomarkers that could distinguish diabetic and non-diabetic patients, 12 of which were repeated multiple times. The majority of these genes are associated with stress response, signalling regulation, locomotion, cell motility, growth, and muscle adaptation. Machine learning algorithms highlighted the use of the HLA-DQB1 gene as a biomarker for diabetes early detection. Our data mining and gene expression analysis have provided useful information about potential biomarkers in diabetes. Full article
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9 pages, 479 KiB  
Article
COVID-19 Vaccine Acceptance among Vulnerable Groups: Syrian Refugees in Jordan
by Qusai M. Talafha, Amal Al-Haidose, Ala Y. AlSamman, Saja A. Abdallah, Rasha Istaiteyeh, Wisam Nabeel Ibrahim, Ma’mon M. Hatmal and Atiyeh M. Abdallah
Vaccines 2022, 10(10), 1634; https://doi.org/10.3390/vaccines10101634 - 28 Sep 2022
Cited by 17 | Viewed by 2884
Abstract
Despite the wide distribution of COVID-19 vaccines, refugees remain last in line for the intake of vaccines. Syrian refugees in Jordan reach up to 700,000 registered and almost up to 700,000 unregistered refugees. This study aims to assess the willingness of Syrian refugees [...] Read more.
Despite the wide distribution of COVID-19 vaccines, refugees remain last in line for the intake of vaccines. Syrian refugees in Jordan reach up to 700,000 registered and almost up to 700,000 unregistered refugees. This study aims to assess the willingness of Syrian refugees in Jordan to take the COVID-19 vaccine. Participants in the Zaatari refugee camp in Jordan were invited through social media to complete the survey between January and March 2022. A total of 230 refugees participated in our study, with almost half the participants of male gender. The majority of the participants had secondary school as their highest education level and were unemployed, being below the social poverty line. Interestingly, Syrian refugees showed a high vaccine acceptance rate, as 89.6% were willing to take the vaccine. Moreover, they showed high knowledge regarding the vaccine, the disease, and the virus. Our findings highlight the importance of knowledge and awareness of the COVID-19 vaccine to increase the acceptance rate. This is very important as refugees represent a vulnerable group to infection and complications and require close attention, especially with their significant numbers in Jordon and challenges of providing adequate vaccine supplies at their camps. We hope that, with proper dissemination of knowledge and awareness and with easy accessibility to the vaccines, it will ensure high immunization to reach herd immunity in Jordan. Full article
(This article belongs to the Special Issue Epidemiology, Vaccination and Public Health)
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22 pages, 11060 KiB  
Article
Whole-Genome Sequencing of 100 Genomes Identifies a Distinctive Genetic Susceptibility Profile of Qatari Patients with Hypertension
by Alsamman M. Alsamman, Hakeem Almabrazi and Hatem Zayed
J. Pers. Med. 2022, 12(5), 722; https://doi.org/10.3390/jpm12050722 - 29 Apr 2022
Cited by 6 | Viewed by 3257
Abstract
Essential hypertension (EH) is a leading risk condition for cardiovascular and renal complications. While multiple genes are associated with EH, little is known about its genetic etiology. Therefore, this study aimed to screen for variants that are associated with EH in 100 hypertensive/100 [...] Read more.
Essential hypertension (EH) is a leading risk condition for cardiovascular and renal complications. While multiple genes are associated with EH, little is known about its genetic etiology. Therefore, this study aimed to screen for variants that are associated with EH in 100 hypertensive/100 control patients comprising Qatari individuals using GWASs of whole-genome sequencing and compare these findings with genetic data obtained from more than 10,000 published peer-reviewed studies on EH. The GWAS analysis performed with 21,096 SNPs revealed 38 SNPs with a significant ≥4 log-p value association with EH. The two highest EH-associated SNPs (rs921932379 and rs113688672) revealed a significance score of ≥5 log-p value. These SNPs are located within the inter-genic region of GMPS-SETP14 and ISCA1P6-AC012451.1, respectively. Text mining yielded 3748 genes and 3078 SNPs, where 51 genes and 24 SNPs were mentioned in more than 30 and 10 different articles, respectively. Comparing our GWAS results to previously published articles revealed 194 that are unique to our patient cohort; of these, 13 genes that have 26 SNPs are the most significant with ≥4 log-p value. Of these genes, C2orf47-SPATS2L contains nine EH-associated SNPs. Most of EH-associated genes are related to ion gate channel activity and cardiac conduction. The disease–gene analysis revealed that a large number of EH-associated genes are associated with a variety of cardiovascular disorders. The clustering analysis using EH-associated SNPs across different ethnic groups showed high frequency for the minor allele in different ethnic groups, including Africans, East Asians, and South Asians. The combination of GWAS and text mining helped in identifying the unique genetic susceptibility profile of Qatari patients with EH. To our knowledge, this is the first small study that searched for genetic factors associated with EH in Qatari patients. Full article
(This article belongs to the Section Omics/Informatics)
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17 pages, 868 KiB  
Article
Genetic Dissection of Heat Stress Tolerance in Faba Bean (Vicia faba L.) Using GWAS
by Fouad Maalouf, Lynn Abou-Khater, Zayed Babiker, Abdulqader Jighly, Alsamman M. Alsamman, Jinguo Hu, Yu Ma, Nicolas Rispail, Rind Balech, Aladdin Hamweih, Michael Baum and Shiv Kumar
Plants 2022, 11(9), 1108; https://doi.org/10.3390/plants11091108 - 20 Apr 2022
Cited by 20 | Viewed by 3699
Abstract
Heat waves are expected to become more frequent and intense, which will impact faba bean cultivation globally. Conventional breeding methods are effective but take considerable time to achieve breeding goals, and, therefore, the identification of molecular markers associated with key genes controlling heat [...] Read more.
Heat waves are expected to become more frequent and intense, which will impact faba bean cultivation globally. Conventional breeding methods are effective but take considerable time to achieve breeding goals, and, therefore, the identification of molecular markers associated with key genes controlling heat tolerance can facilitate and accelerate efficient variety development. We phenotyped 134 accessions in six open field experiments during summer seasons at Terbol, Lebanon, at Hudeiba, Sudan, and at Central Ferry, WA, USA from 2015 to 2018. These accessions were genotyped using genotyping by sequencing (GBS), and 10,794 high quality single nucleotide polymorphisms (SNPs) were discovered. These accessions were clustered in one diverse large group, although several discrete groups may exist surrounding it. Fifteen lines belonging to different botanical groups were identified as tolerant to heat. SNPs associated with heat tolerance using single-trait (ST) and multi-trait (MT) genome-wide association studies (GWASs) showed 9 and 11 significant associations, respectively. Through the annotation of the discovered significant SNPs, we found that SNPs from transcription factor helix–loop–helix bHLH143-like S-adenosylmethionine carrier, putative pentatricopeptide repeat-containing protein At5g08310, protein NLP8-like, and photosystem II reaction center PSB28 proteins are associated with heat tolerance. Full article
(This article belongs to the Special Issue Advances in Research for Legume Breeding and Genetics)
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