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  1. Fulltext Irreversibility analysis of radiative flow of Prandtl nanofluid over a stretched surface in Darcy-Forchheimer medium with activation energy and chemical reaction
    Zafar SS, Khan U, Ali F, Eldin SM, Saeed AM, Zaib A, et al.
    Heliyon, 2023 Apr;9(4):e14877.
    PMID: 37025881 DOI: 10.1016/j.heliyon.2023.e14877
    This communication elaborates the irreversibility analysis of the flow of Prandtl nanofluid along with thermal radiation past a permeable stretched surface embedded in a Darcy-Forchheimer medium. The activation and chemical impressions along with effects of thermophoretic and Brownian motion are as well examined. The flow symmetry of the problem is modeled mathematically and leading equations are rehabilitated into nonlinear ordinary differential equations (ODEs) through the assistance of suitable similarity variables. The Keller-box technique in MATLAB is employed to draw the impacts of the contributing elements on the velocity field, temperature distribution, and concentration. The impact of the Prandtl fluid parameter has mounting performance for the velocity whereas conflicting behavior is examined in the temperature profile. The achieved numerical results are matched correspondingly with the present symmetrical solutions in restrictive cases and fantastic agreement is scrutinized. In addition, the entropy generation uplifts for the growing values of the Prandtl fluid parameter, thermal radiation, and Brinkman number and decreases for growing numbers of the inertia coefficient parameter. It is also discovered that the coefficient of friction decreases for all parameters involved in the momentum equation. Features of nanofluids can be found in a variety of real-world fields, including microfluidics, industry, transportation, the military, and medicine.
  2. Fulltext Amine-Decorated Methacrylic Acid-based Inverse Vulcanized Polysulfide for Effective Mercury Removal from Wastewater
    Ghumman ASM, Shamsuddin R, Alothman ZA, Waheed A, Aljuwayid AM, Sabir R, et al.
    ACS Omega, 2024 Jan 30;9(4):4831-4840.
    PMID: 38313525 DOI: 10.1021/acsomega.3c08361
    Mercury [Hg(II)] contamination is an indefatigable global hazard that causes severe permanent damage to human health. Extensive research has been carried out to produce mercury adsorbents; however, they still face certain challenges, limiting their upscaling. Herein, we report the synthesis of a novel amine-impregnated inverse vulcanized copolymer for effective mercury removal. Poly(S-MA) was prepared using sulfur and methacrylic acid employing the inverse vulcanization method, followed by functionalization. The polyethylenimine (PEI) was impregnated on poly(S-MA) to increase the adsorption active sites. The adsorbent was then characterized byusing Fourier transform infrared (FTIR) spectroscopy and scanning electron microscopy (SEM). FTIR spectroscopy confirmed the formation of the copolymer, and successful impregnation of PEI and SEM revealed the composite porous morphology of the copolymer. Amine-impregnated copolymer [amine@poly(S-MA)] outperformed poly(S-MA) in mercury as it showed 20% superior performance with 44.7 mg/g of mercury adsorption capacity. The adsorption data best fit the pseudo-second-order, indicating that chemisorption is the most effective mechanism, in this case, indicating the involvement of NH2 in mercury removal. The adsorption is mainly a monolayer on a homogeneous surface as indicated by the 0.76 value of Redlich-Peterson exponent (g), which describes the adsorption nature advent from the R2 value of 0.99.
  3. Optimization of antiproliferative activity of substituted phenyl 4-(2-oxoimidazolidin-1-yl) benzenesulfonates: QSAR and CoMFA analyses
    Masand VH, Mahajan DT, Alafeefy AM, Bukhari SN, Elsayed NN
    Eur J Pharm Sci, 2015 Sep 18;77:230-7.
    PMID: 26066412 DOI: 10.1016/j.ejps.2015.06.001
    Multiple separate quantitative structure-activity relationships (QSARs) models were built for the antiproliferative activity of substituted Phenyl 4-(2-Oxoimidazolidin-1-yl)-benzenesulfonates (PIB-SOs). A variety of descriptors were considered for PIB-SOs through QSAR model building. Genetic algorithm (GA), available in QSARINS, was employed to select optimum number and set of descriptors to build the multi-linear regression equations for a dataset of PIB-SOs. The best three parametric models were subjected to thorough internal and external validation along with Y-randomization using QSARINS, according to the OECD principles for QSAR model validation. The models were found to be statistically robust with high external predictivity. The best three parametric model, based on steric, 3D- and finger print descriptors, was found to have R(2)=0.91, R(2)ex=0.89, and CCCex=0.94. The CoMFA model, which is based on a combination of steric and electrostatic effects and graphically inferred using contour plots, gave F=229.34, R(2)CV=0.71 and R(2)=0.94. Steric repulsion, frequency of occurrence of carbon and nitrogen at topological distance of seven, and internal electronic environment of the molecule were found to have correlation with the anti-tumor activity of PIB-SOs.
  4. Fulltext The Variation in Outcomes of Septic Patients: A Dual-Centre Comparative Study
    Baig H, Al Tell T, Ashraf MH, Al Failakawi A, Khan QI, Nasar AM, et al.
    Cureus, 2022 Oct;14(10):e30677.
    PMID: 36439613 DOI: 10.7759/cureus.30677
    Introduction Despite significant advances in the field of medicine, sepsis is constantly growing as a major public health concern. The global epidemic of sepsis imposes a significant economic burden on healthcare systems world-over. Furthermore, its high prevalence in society is inevitably paralleled by an excessive mortality rate, with approximately six million deaths reported every year. The primary aim of this study was to evaluate and compare, the management of acutely septic patients against outcomes in a tertiary teaching institution in Pakistan versus a similar one in the United Kingdom. Methods This study was a dual-centred, retrospective comparative analysis comparing all patients admitted through the emergency department at the respective tertiary centres. Patient details were collected and compared across the two sites to evaluate the effect of individual characteristics on prognosis. The outcomes of these presentations were analysed by comparing rates of in-hospital mortality, admission to the ICU or discharge. Results The total number of patients identified as having sepsis was 60 in the Pakistan cohort, and 92 in the Aberdeen cohort. No significant difference was found when comparing genders, and the results of basic observations were largely similar at presentation. Twenty-five per cent (25%) (n=38) of the total study population were deemed to have a poor outcome at 3 days, but 50% of the Pakistan cohort was deemed to have a poor outcome. Conclusion Managing sepsis has developed significantly in recent years, but most of this development was implemented in high-income countries. There was a significant delay in time to resuscitate septic patients in Pakistan, with significantly raised three-day morbidity and mortality. There is a need for further comparative studies of the management of sepsis in Pakistan and other low-income countries to identify the problems and tackle obstacles on every level of the healthcare system.
  5. Fulltext A Robust Framework for Data Generative and Heart Disease Prediction Based on Efficient Deep Learning Models
    Sarra RR, Dinar AM, Mohammed MA, Ghani MKA, Albahar MA
    Diagnostics (Basel), 2022 Nov 22;12(12).
    PMID: 36552906 DOI: 10.3390/diagnostics12122899
    Biomarkers including fasting blood sugar, heart rate, electrocardiogram (ECG), blood pressure, etc. are essential in the heart disease (HD) diagnosing. Using wearable sensors, these measures are collected and applied as inputs to a deep learning (DL) model for HD diagnosis. However, it is observed that model accuracy weakens when the data gathered are scarce or imbalanced. Therefore, this work proposes two DL-based frameworks, GAN-1D-CNN, and GAN-Bi-LSTM. These frameworks contain: (1) a generative adversarial network (GAN) and (2) a one-dimensional convolutional neural network (1D-CNN) or bi-directional long short-term memory (Bi-LSTM). The GAN model is utilized to augment the small and imbalanced dataset, which is the Cleveland dataset. The 1D-CNN and Bi-LSTM models are then trained using the enlarged dataset to diagnose HD. Unlike previous works, the proposed frameworks increase the dataset first to avoid the prediction bias caused by the limited data. The GAN-1D-CNN achieved 99.1% accuracy, specificity, sensitivity, F1-score, and 100% area under the curve (AUC). Similarly, the GAN-Bi-LSTM obtained 99.3% accuracy, 99.2% specificity, 99.3% sensitivity, 99.2% F1-score, and 100% AUC. Furthermore, time complexity of proposed frameworks is investigated with and without principal component analysis (PCA). The PCA method reduced prediction times for 61 samples using GAN-1D-CNN and GAN-Bi-LSTM to 68.8 and 74.8 ms, respectively. These results show that it is reliable to use our frameworks for augmenting limited data and predicting heart disease.
  6. Fulltext Significance of Free Convection Flow over an Oscillating Inclined Plate Induced by Nanofluid with Porous Medium: The Case of the Prabhakar Fractional Approach
    Raza A, Khan U, Eldin SM, Alotaibi AM, Elattar S, Prasannakumara BC, et al.
    Micromachines (Basel), 2022 Nov 19;13(11).
    PMID: 36422449 DOI: 10.3390/mi13112019
    Given the importance and use of electrically conducted nanofluids, this work aims to examine an engine-oil-based nanofluid including various nanoparticles. In the current study, a fractional model for inspecting the thermal aspect of a Brinkman-type nanofluid, composed of (molybdenum disulfide (MOS2) and graphene oxide (GO) nanoparticles flows on an oscillating infinite inclined plate, which characterizes an asymmetrical fluid flow, heat, and mass transfer. Furthermore, the Newtonian heating effect, magnetic field, and slip boundary conditions were taken into account. The objectives for implementing the Prabhakar-like fractional model are justified because this fractional algorithm has contemporary definitions with no singularity restrictions. Furthermore, the guided fractional model was solved using the Laplace transform and several inverse methods. The obtained symmetrical solutions have been visually analyzed to investigate the physics of several relevant flow parameters on the governed equations. Some exceptional cases for the momentum field are compiled to see the physical analysis of the flowing fluid symmetry. The results show that the thermal enhancement can be progressively improved with the interaction of the molybdenum disulfide-engine oil-based nanofluid suspension, rather than with the graphene oxide mixed nanoparticle fluid. Furthermore, the temperature and momentum profiles enhance due to the factional parameters for molybdenum disulfide and the graphene oxide-engine oil-based nanofluid suspension. This study's graphical and numerical comparison with the existing literature has shown a very close resemblance with the present work, which provides confidence that the unavailable results are accurate. The results show that an increase improved the heat transmission in the solid nanoparticle volume fractions. In addition, the increment in the mass and heat transfer was analyzed in the numerical evaluation, while the shear stress was enhanced with the enhancement in the Prabhakar fractional parameter α.
  7. Fulltext Need for Training in Research Methodology Prior to Conducting Systematic Reviews and Meta-Analyses, and the Effectiveness of an Online Training Program: The Global Andrology Forum Model
    Cannarella R, Shah R, Boitrelle F, Saleh R, Durairajanayagam D, Harraz AM, et al.
    World J Mens Health, 2023 Apr;41(2):342-353.
    PMID: 36593714 DOI: 10.5534/wjmh.220128
    PURPOSE: Systematic reviews and meta-analyses (SRMAs) are used to generate evidence-based guidelines. Although the number of SRMAs published in the literature has increased dramatically in the last decade, the training and the experience of the researchers performing the SRMAs are usually not explained in the SRMAs' methodology, and this may be a source of bias. Although some studies pointed out the need for quality control of SRMAs and training in proper statistical methods, to the best of our knowledge, no study has reported the importance of training the researchers that conduct the SRMAs. The aim of this study is to describe a training program designed to impart the essential knowledge and skills required for the conduct of an SRMA and to assess the need for, and outcome of, such a training.

    MATERIALS AND METHODS: Researchers were trained for use of Scopus, study eligibility, assessment of the quality of evidence (QoE) through the Cambridge Quality Checklist for observational studies, as well as the Cochrane Risk of Bias tool, the Consolidated Standards of Reporting Trials (CONSORT) guidelines, and the Jadad score for randomized controlled trials (RCTs), Population, Intervention, Comparison, Outcome (PICO) questions and data extraction. A total of 35 of them were approved to join a planned SRMA. At the end of the SRMA, they were administered 43 multiple-choice questions (MCQs) on demographics, motivation for participation in the SRMA, self-perceived change in knowledge before and after conducting the SRMA, and self-assessment of performance. The senior researchers then revised the spreadsheet of the SRMA and, based on the mistakes found, organized a training focused on the correct assessment of the study design, where 43 researchers (9 joined midway) and 11 trainees with no experience in conducting SRMA attended. They all were tested through a 5 MCQ assessment that was administered before and after the training. Those scoring poorly were re-trained and re-tested, and only those scoring satisfactorily were admitted to further SRMAs.

    RESULTS: Approximately 54.3% of the participants were medical doctors (MD), 31.4% were urologists and 48.6% had previous experience with SRMAs. Joining an international collaborative study was the main motivation, chosen by 19.7% of researchers. The results of the self-perceived change in knowledge showed a significant improvement in the use of Scopus, checklists for QoE, PICO questions, data required to perform a meta-analysis, and critical reading of scientific articles. Also, the majority of the researchers ranked the quality of their work as high. The pre-test results of the 5 MCQ showed a low score, which was not different from that achieved by a group of fresh trainees (median, 2; IQR 1-3 vs. median, 1; IQR, 1-2; p=0.3). Post-training there was significant improvement in both groups (researchers: median, 4; IQR, 3-5 vs. median, 2; IQR, 1-3; p<0.001; trainees: median, 4; IQR, 3-4 vs. median, 1; IQR, 1-2; p=0.02). Out of the 44 researchers, 12 (27.3%) scored poorly (≤3). After re-training, all of them scored satisfactorily (>3) and were admitted to subsequent SRMAs.

    CONCLUSIONS: At the end of our model, 100% of researchers participating in this study were validated to be included in a meta-analysis. This validation required the involvement of the MT, two meetings, a self-evaluation survey, and one or two sets of objective tests with explanations and corrections. Our results indicate that even well-trained clinicians are naïve when it comes to the methodology of SRMA. All the researchers performing an SRMA need comprehensive training that must cover each aspect of the SRMA methodology. This paper provides a replicable training program that could be used by other investigators to train the researchers to perform high-quality SRMAs.

  8. Fulltext Assessment of knowledge and attitude of cervical cancer among the youths in the Rayalaseema region of Andhra Pradesh - India
    Divya KT, Chidrawar VR, Bhupalam PK, Shiromwar S, Aljameeli AM, Vyshnavi G, et al.
    J Educ Health Promot, 2024;13:73.
    PMID: 38559478 DOI: 10.4103/jehp.jehp_318_23
    BACKGROUND: India suffers a quarter of the global burden of cervical cancer (CC) but is controllable by taking some precautions. The major issue is the low amount of participation among women in screening and vaccination for disease. The objective of the research is to evaluate knowledge, attitude, and practice (KAP) regarding CC among college going students residing in the Rayalaseema region of Andhra Pradesh-India.

    MATERIAL AND METHODS: A cross-sectional study was conducted on a total of 380 subjects whose ages ranged from 15 to 25 and older. The questionnaires were circulated through google forms. The socio-demographic variables and KAP levels are represented by descriptive statistics. The Chi-square test is used to determine the relationship between sociodemographic factors and KAP levels.

    RESULTS: Among 380 subjects, 172 (54.7%) are aware of CC, 71% have poor knowledge, and 20% have good knowledge about CC. More than three-fourths of women 374 (98.4%) are not having regular practice towards CC.

    CONCLUSION: The awareness about CC is very low in the population, so prevention of CC relies on routine screening, proper vaccination, and treatment. Awareness programs and promoting knowledge about cervical health in social media are required.

  9. Fulltext The Global Andrology Forum (GAF): A World-Wide, Innovative, Online Initiative to Bridge the Gaps in Research and Clinical Practice of Male Infertility and Sexual Health
    Agarwal A, Saleh R, Boitrelle F, Cannarella R, Hamoda TAA, Durairajanayagam D, et al.
    World J Mens Health, 2022 Oct;40(4):537-542.
    PMID: 36047074 DOI: 10.5534/wjmh.220127
  10. Advancing optical nanosensors with artificial intelligence: A powerful tool to identify disease-specific biomarkers in multi-omics profiling
    Taha BA, Abdulrahm ZM, Addie AJ, Haider AJ, Alkawaz AN, Yaqoob IAM, et al.
    Talanta, 2025 May 15;287:127693.
    PMID: 39919475 DOI: 10.1016/j.talanta.2025.127693
    Multi-omics profiling integrates genomic, epigenomic, transcriptomic, and proteomic data, essential for understanding complex health and disease pathways. This review highlights the transformative potential of combining optical nanosensors with artificial intelligence (AI). It is possible to identify disease-specific biomarkers using real-time and sensitive molecular interactions. These technologies are precious for genetic, epigenetic, and proteomic changes critical to disease progression and treatment response. AI improves multi-omics profiling by analyzing large, diverse data sets and common patterns traditional methods overlook. Machine learning tools Biomarkers Discovery is revolutionizing, drug resistance is being understood, and medicine is being personalized as the combination of AI and nanosensors has advanced the detection of DNA methylation and proteomic signatures and improved our understanding of cancer, cardiovascular disease and vascular disease. Despite these advances, challenges still exist. Difficulties in integrating data sets, retaining sensors, and building scalable computing tools are the biggest obstacles. It also examines various solutions with advanced AI algorithms and innovations, including fabrication in nanosensor design. Moreover, it highlights the potential of nanosensor-assisted, AI-driven multi-omics profiling to revolutionize disease diagnosis and treatment. As technology advances, these tools pave the way for faster diagnosis, more accurate treatment and improved patient outcomes, offering new hope for personalized medicine.
  11. Exploring Undergraduate Students' Mental Well-Being, Mental Health Seeking Attitude, and the Impact of Socioeconomic Status: A Cross-Sectional Study from Malaysia
    Fata Nahas ARM, Omar N, Osman AMY, Taufek NHM
    J Pharm Bioallied Sci, 2024;16(3):108-113.
    PMID: 39691543 DOI: 10.4103/jpbs.jpbs_802_24
    INTRODUCTION: The future of our healthcare services highly depends on the current generation of health science students since they are the ones who will work in the healthcare setting. Ensuring their mental well-being is an utmost priority so that they can offer top-tier quality care and services to people in need. This study aimed to explore the prevalence of mental well-being and mental help-seeking attitude among undergraduate sciences students and the impact of socioeconomic status toward both variables.

    MATERIALS AND METHODS: A cross-sectional study was conducted among students (N = 364) from six sciences schools at International Islamic University Malaysia via an online survey, which contained three main parts; socioeconomic status, mental well-being assessment using the Warwick-Edinburgh Mental Well-being Scale (WEMWBS), and assessment of mental help-seeking attitude using the General Mental Help-Seeking Attitude Scale (MHSAS). Data were analysed using SPSS, version 29.0.

    RESULTS: Only 7.1% of the students have positive mental well-being, while 44.8% scored positive mental help-seeking attitude. There were no significant differences (P > 0.05) in students' mental well-being and any of SES components. There was a significant association between students' year of study and mental help-seeking attitude (P = 0.029), in addition, WEMWBS and MHSAS scores showed a positive correlation (P < 0.01).

    CONCLUSION: Future studies are essential to find out the contributing factors, prevention, and intervention that can be done to help the student in need.

  12. Cultural Dynamics in Disaster Management: Exploring Sociocultural Influences on Disaster Response in Malaysia
    Abid SK, Sulaiman N, Samman B, Al-Wathinani AM, Goniewicz K
    Disaster Med Public Health Prep, 2025 Mar 24;19:e69.
    PMID: 40125665 DOI: 10.1017/dmp.2025.68
    OBJECTIVE: Disaster management strategies often emphasize technical and structural solutions, overlooking the sociocultural factors that shape community resilience and disaster response. In Malaysia, a multiethnic and multireligious country frequently affected by floods and monsoon storms, cultural beliefs, social networks, and traditional practices play a pivotal role in shaping disaster preparedness and recovery. This study examines how religious beliefs, community cohesion, gender roles, and traditional knowledge influence disaster management in Malaysia.

    METHODS: A qualitative research approach was employed, utilizing semi-structured interviews with 15 stakeholders from diverse ethnic, religious, and social backgrounds. Participants, represented various religious groups and geographic areas. Their roles included local leaders, government officials, NGO workers, and community members, providing insights into how sociocultural factors influence disaster response and policy.

    RESULTS: Religious beliefs serve as both a source of resilience and a potential barrier, shaping community attitudes toward disaster preparedness. Community cohesion, particularly through gotong-royong (mutual aid), plays a crucial role in mobilizing resources and support, though it often excludes marginalized groups. Gender roles significantly influence disaster response, with women taking on caregiving responsibilities yet remaining underrepresented in decision-making processes. Traditional knowledge remains valuable, particularly in rural communities, but faces challenges as younger generations increasingly rely on modern technologies.

    CONCLUSIONS: This study highlights the need for culturally sensitive, gender-inclusive, and community-driven disaster management policies in Malaysia.Integrating sociocultural dimensions into formal frameworks can foster more adaptive and inclusive strategies. Enhancing community participation and gender inclusivity will be key to improving disaster resilience in Malaysia.

  13. Fulltext Molecular Mechanisms of Candida albicans Adhesion to Maxillofacial Silicone Elastomers: Integrating Candidate Molecular Pathways with Material Surface Properties
    Hamarsha AM, Atatra M, Watted N, Irekeola AA, Sulaiman MM, Hasbullah N
    Int J Mol Sci, 2026 Oct 12;27(20).
    PMID: 42941804 DOI: 10.3390/ijms27209031
    Colonisation of maxillofacial prostheses by Candida albicans is conventionally attributed to surface roughness, porosity, and wettability properties that explain where cells accumulate rather than why particular surfaces promote biofilm formation. This review reinterprets the in vitro literature on C. albicans adhesion to maxillofacial silicone elastomers through the underlying molecular events. Nine eligible studies identified through searches of PubMed, Scopus, and ScienceDirect conducted on 31 March 2026 were appraised with the QUIN tool and mapped onto a six-stage molecular cascade: surface conditioning, reversible attachment, adhesin engagement, morphogenesis, matrix assembly, and antifungal tolerance. Three conclusions emerged. First, C. albicans senses topography through mechanically gated calcium channels and converts mechanical contact into hyphal commitment; roughness is therefore a morphogenetic cue that surface finishing can withhold. Second, the tested agents-silver nanoparticles, chitosan, thymol, and carvacrol, and a Lactobacillus brevis-derived biosurfactant-engage distinct molecular targets and are not mechanistically interchangeable. Third, most included studies evaluated silicone without salivary conditioning, whereas the clinical interface is an acquired salivary pellicle that supplies both adhesion receptors and antimicrobial peptides. All studies fell within the medium risk-of-bias band (50.0-62.5%). Pellicle-conditioned models and molecular readouts are required. The mechanistic interpretations discussed in this review are derived from the broader C. albicans literature and have not been directly demonstrated on maxillofacial silicone elastomers.
  14. Protective effects of pyridoxine, amlodipine, and their combination in a vasopressin-induced angina model in rats
    Al-Khawlani MA, Al-Madhagi WM, Sabati AM, ALomaisi SAMA, Al-Najar M
    Naunyn Schmiedebergs Arch Pharmacol, 2025 Aug;398(8):10983-10995.
    PMID: 40067440 DOI: 10.1007/s00210-025-03905-6
    Vitamin B6 (pyridoxine) vitamins are of interest in preventative and protective strategies in cardiovascular disease. However, the safety and efficacy of vitamin B6 has been questioned. The aim of this study was to study the protective effect of pyridoxine, amlodipine, and their combination against vasopressin-induced angina model in rats. The administration of vasopressin (1 IU/kg, i.v.) to the rats elevated the S-wave level of the electrocardiogram reflecting the presence of subendocardial ischemia, whereas it decreased of the heart rate, resulting in the increase of the cardiac enzymes, creatine kinase MB (CK MB), and lactate dehydrogenase (LDH). In the vasopressin-induced angina model, oral administration of pyridoxine in dose of 5, 7, 10 mg/kg revealed dose-dependent suppression of vasopressin-triggered of ST elevation and in reduced of heart rat. In addition, pyridoxine produced dose-dependent suppression of cardiac enzymes, creatine kinase MB (CK MB), and lactate dehydrogenase (LDH) more than amlodipine and isosorbide; while in contrast, the combination of pyridoxine with amlodipine resulted in a trend towards increased adverse cardiovascular events; pyridoxine in dose 7 mg/kg was found to be more potent than pyridoxine in doses 5, 10 mg/kg, amlodipine and isosorbide on vasopressin-induced angina in rats. Pyridoxine in dose of (5, 7 mg) prevents cardiac necrosis and artery well thickened on vasopressin-induced angina modal. Pyridoxine's protective effects may be mediated by improved endothelial nitric oxide synthase (eNOS) function, reduction of homocysteine levels, and modulation of sympathetic activity. Pyridoxine at optimal doses shows promise as a novel therapeutic agent for coronary heart disease prevention, warranting further investigation into its potential clinical applications.
  15. Fulltext Hypophyllanthin and Phyllanthin from Phyllanthus niruri Synergize Doxorubicin Anticancer Properties against Resistant Breast Cancer Cells
    Abdel-Sattar OE, Allam RM, Al-Abd AM, El-Halawany AM, El-Desoky AM, Mohamed SO, et al.
    ACS Omega, 2023 Aug 08;8(31):28563-28576.
    PMID: 37576627 DOI: 10.1021/acsomega.3c02953
    Doxorubicin (DOX) is a cornerstone chemotherapeutic agent for the treatment of several malignancies such as breast cancer; however, its activity is ameliorated by the development of a resistant phenotype. Phyllanthus species have been studied previously for their potential anticancer properties. The current work is aimed to study the potential cytotoxicity and chemomodulatory effects of hypophyllanthin (PN4) and phyllanthin (PN5) isolated from Phyllanthus niruri to DOX against the adriamycin multidrug-resistant breast cancer cells (MCF-7ADR) and elucidate their mechanism of action. The major compounds of the active methylene chloride fraction were isolated and assessed for their potential cytotoxicity and chemomodulatory effects on DOX against naïve (MCF-7) and resistant breast (MCF-7ADR) cancer cells. The mechanism of action of both compounds in terms of their impacts on programmed/non-programmed cell death (apoptosis and autophagy/necrosis), cell cycle progression/arrest, and tumor cell migration/invasion was investigated. Both compounds PN4 and PN5 showed a moderate but similar potency against MCF-7 as well as MCF-7ADR and significantly synergized DOX-induced anticancer properties against MCF-7ADR. The chemomodulatory effect of both compounds to DOX was found to be via potentiating DOX-induced cell cycle interference and apoptosis induction. It was found that PN4 and PN5 blocked the apoptosis-escape autophagy pathway in MCF-7ADR. On the molecular level, both compounds interfered with SIRT1 expression and consequently suppressed Akt phosphorylation, and PN5 blocked apoptosis escape. Furthermore, PN4 and PN5 showed promising antimigratory and anti-invasive effects against MCF-7ADR, as confirmed by suppression of N-cadherin/β-catenin expression. In conclusion, for the first time, hypophyllanthin and phyllanthin isolated from P. niruri showed promising chemomodulatory effects to the DOX-induced chemotherapeutic activity against MCF-7ADR. Both compounds significantly synergized DOX-induced anticancer properties against MCF-7ADR. This enhanced activity was explained by further promoting DOX-induced apoptosis and suppressing the apoptosis-escape autophagy feature of the resistant breast cancer cells. Both compounds (hypophyllanthin and phyllanthin) interfered with the SIRT1/Akt pathway and suppressed the N-cadherin/β-catenin axis, confirming the observed antiproliferative, cytotoxic, and anti-invasive effects of hypophyllanthin and phyllanthin.
  16. Fulltext Cytotoxic and chemomodulatory effects of Phyllanthus niruri in MCF-7 and MCF-7ADR breast cancer cells
    Abdel-Sattar OE, Allam RM, Al-Abd AM, Avula B, Katragunta K, Khan IA, et al.
    Sci Rep, 2023 Feb 15;13(1):2683.
    PMID: 36792619 DOI: 10.1038/s41598-023-29566-0
    The members of the genus Phyllanthus have long been used in the treatment of a broad spectrum of diseases. They exhibited antiproliferative activity against various human cancer cell lines. Breast cancer is the most diagnosed cancer and a leading cause of cancer death among women. Doxorubicin (DOX) is an anticancer agent used to treat breast cancer despite its significant cardiotoxicity along with resistance development. Therefore, this study was designed to assess the potential cytotoxicity of P. niruri extracts (and fractions) alone and in combination with DOX against naïve (MCF-7) and doxorubicin-resistant breast cancer cell lines (MCF-7ADR). The methylene chloride fraction (CH2Cl2) showed the most cytotoxic activity among all tested fractions. Interestingly, the CH2Cl2-fraction was more cytotoxic against MCF-7ADR than MCF-7 at 100 µg/mL. At sub-cytotoxic concentrations, this fraction enhanced the cytotoxic effect of DOX against the both cell lines under investigation (IC50 values of 0.054 µg/mL and 0.14 µg/mL vs. 0.2 µg/mL for DOX alone against MCF-7) and (1.2 µg/mL and 0.23 µg/mL vs. 9.9 µg/mL for DOX alone against MCF-7ADR), respectively. Further, TLC fractionation showed that B2 subfraction in equitoxic combination with DOX exerted a powerful synergism (IC50 values of 0.03 µg/mL vs. 9.9 µg/mL for DOX alone) within MCF-7ADR. Untargeted metabolite profiling of the crude methanolic extract (MeOH) and CH2Cl2 fraction exhibiting potential cytotoxicity was conducted using liquid chromatography diode array detector-quadrupole time-of-flight mass spectrometry (LC-DAD-QTOF). Further studies are needed to separate the active compounds from the CH2Cl2 fraction and elucidate their mechanism(s) of action.
  17. Mesoporous activated coconut shell-derived hydrochar prepared via hydrothermal carbonization-NaOH activation for methylene blue adsorption
    Islam MA, Ahmed MJ, Khanday WA, Asif M, Hameed BH
    J Environ Manage, 2017 Dec 01;203(Pt 1):237-244.
    PMID: 28783020 DOI: 10.1016/j.jenvman.2017.07.029
    Mesoporous activated carbon was prepared using a hydrochar derived from coconut shell waste through hydrothermal carbonization and NaOH chemical activation process (COSHTC). Three sets of activated carbons were obtained with different hydrochar:NaOH impregnation ratios (1:1, 1:2, and 1:3). Among these ratios, 1:3 (COSHTC3) exhibited the optimum adsorption for methylene blue (MB). COSHTC3 adsorbed MB with an initial concentration of 25-250 mg/L at pH 3-11 and 30 °C. The adsorption isotherm of MB on COSHTC3 demonstrated that Langmuir isotherm could be better applied at a maximum monolayer adsorption capacity of 200.01 mg/g at 30 °C. The data was well fitted to the pseudo-second-order (PSO) kinetic model. These results show that the COSHTC3 prepared from low-cost agricultural waste (coconut shell) with average pore diameter 28.6 Å and surface area 876.14 m(2)/g acts as a better adsorbent for removal of cationic dyes and could pave the way for more low-cost adsorbents for dye removal.
  18. Human hair-derived high surface area porous carbon material for the adsorption isotherm and kinetics of tetracycline antibiotics
    Ahmed MJ, Islam MA, Asif M, Hameed BH
    Bioresour Technol, 2017 Nov;243:778-784.
    PMID: 28711807 DOI: 10.1016/j.biortech.2017.06.174
    In this work, a human hair-derived high surface area porous carbon material (HHC) was prepared using potassium hydroxide activation. The morphology and textural properties of the HHC structure, along with its adsorption performance for tetracycline (TC) antibiotics, were evaluated. HHC showed a high surface area of 1505.11m(2)/g and 68.34% microporosity. The effects of most important variables, such as initial concentration (25-355mg/L), solution pH (3-13), and temperatures (30-50°C), on the HHC adsorption performance were investigated. Isotherm data analysis revealed the favorable application of the Langmuir model, with maximum TC uptakes of 128.52, 162.62, and 210.18mg/g at 30, 40, and 50°C, respectively. The experimental data of TC uptakes versus time were analyzed efficiently using a pseudo-first order model. Porous HHC could be an efficient adsorbent for eliminating antibiotic pollutants in wastewater.
  19. Silver nanoparticle functionalized CS-g-(CA-MA-PZA) carrier for sustainable anti-tuberculosis drug delivery
    Amarnath Praphakar R, Jeyaraj M, Ahmed M, Suresh Kumar S, Rajan M
    Int J Biol Macromol, 2018 Oct 15;118(Pt B):1627-1638.
    PMID: 29981824 DOI: 10.1016/j.ijbiomac.2018.07.008
    Recently, drug functionalized biodegradable polymers have been appreciated to be imperative to fabricate multi-drug delivery nanosystems for sustainable drug release. In this work, amphiphilic chitosan-grafted-(cetyl alcohol-maleic anhydride-pyrazinamide) (CS-g-(CA-MA-PZA)) was synthesized by multi-step reactions. The incorporation of rifampicin (RF) and entrapment of silver nanoparticles (Ag NPs) on CS-g-(CA-MA-PZA) polymer was carried out by dialysis technique. From the FT-IR experiment, the polymer modification, incorporation of drugs and the entrapment of Ag NPs on micelles were confirmed. The surface morphology of Ag NPs, polymeric system and drug loaded micelles was described by SEM, TEM and AFM techniques. In addition, the controlled release behaviour of CS-g-(CA-MA-PZA) micelles was studied by UV-Vis spectroscopy. In vitro cell viability, cell apoptosis and cellular uptake experiments shows that multi-drug delivery system could enhance the biocompatibility and higher the cytotoxicity effect on the cells. Since the prepared amphiphilic polymeric micelles exhibit spotty features and the system is a promising strategy for a novel candidate for immediate therapeutically effects for alveolar macrophages.
  20. Root and canal morphology of maxillary premolar teeth in an Egyptian subpopulation using two classification systems: a cone beam computed tomography study
    Saber SEDM, Ahmed MHM, Obeid M, Ahmed HMA
    Int Endod J, 2019 Mar;52(3):267-278.
    PMID: 30225932 DOI: 10.1111/iej.13016
    AIM: To investigate the number of roots and root canal configurations using two coding systems and the root canal diverging and merging levels in extracted maxillary premolars in an Egyptian subpopulation using cone beam computed tomography (CBCT).

    METHODOLOGY: A total of 700 maxillary premolars were examined using CBCT in an Egyptian subpopulation. The number of roots was identified, and root canal configurations were classified according to Vertucci's classification and a new system for classifying root and canal morphology. In addition, the position where roots bifurcated and the levels where canals merged or diverged were identified. Fisher's exact test and independent t-test were used for statistical analysis, and the level of significance was set at 0.05 (P = 0.05).

    RESULTS: More than half of maxillary first premolars were double-rooted, and the majority of maxillary second premolars were single-rooted (P 

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