Displaying publications 1 - 20 of 214 in total

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  1. Alhajj MN, Al-Maweri SA, Folayan MO, Halboub E, Khader Y, Omar R, et al.
    BMC Oral Health, 2022 Jan 26;22(1):18.
    PMID: 35081945 DOI: 10.1186/s12903-022-02053-0
    OBJECTIVES: E-cigarette use has become popular, particularly among the youth. Its use is associated with harmful general and oral health consequences. This survey aimed to assess self-reported oral hygiene practices, oral and general health events, and changes in physiological functions (including physical status, smell, taste, breathing, appetite, etc.) due to E-cigarette use among dental students.

    METHODS: This online, multicounty survey involved undergraduate dental students from 20 dental schools across 11 different countries. The questionnaire included demographic characteristics, E-cigarette practices, self-reported complaints, and associated physiological changes due to E-cigarette smoking. Data were descriptively presented as frequencies and percentages. A Chi-square test was used to assess the potential associations between the study group and sub-groups with the different factors. Statistical analysis was performed using SPSS at P 
  2. Alyasseri ZAA, Al-Betar MA, Doush IA, Awadallah MA, Abasi AK, Makhadmeh SN, et al.
    Expert Syst, 2021 Jul 28.
    PMID: 34511689 DOI: 10.1111/exsy.12759
    COVID-19 is the disease evoked by a new breed of coronavirus called the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Recently, COVID-19 has become a pandemic by infecting more than 152 million people in over 216 countries and territories. The exponential increase in the number of infections has rendered traditional diagnosis techniques inefficient. Therefore, many researchers have developed several intelligent techniques, such as deep learning (DL) and machine learning (ML), which can assist the healthcare sector in providing quick and precise COVID-19 diagnosis. Therefore, this paper provides a comprehensive review of the most recent DL and ML techniques for COVID-19 diagnosis. The studies are published from December 2019 until April 2021. In general, this paper includes more than 200 studies that have been carefully selected from several publishers, such as IEEE, Springer and Elsevier. We classify the research tracks into two categories: DL and ML and present COVID-19 public datasets established and extracted from different countries. The measures used to evaluate diagnosis methods are comparatively analysed and proper discussion is provided. In conclusion, for COVID-19 diagnosing and outbreak prediction, SVM is the most widely used machine learning mechanism, and CNN is the most widely used deep learning mechanism. Accuracy, sensitivity, and specificity are the most widely used measurements in previous studies. Finally, this review paper will guide the research community on the upcoming development of machine learning for COVID-19 and inspire their works for future development. This review paper will guide the research community on the upcoming development of ML and DL for COVID-19 and inspire their works for future development.
  3. Kubas MA, Shabaruddin FH, Mazlan-Kepli W, Jagan N, Mohamed S, Mohamed Nazar NI, et al.
    J Pharm Bioallied Sci, 2020 Nov;12(Suppl 2):S781-S786.
    PMID: 33828378 DOI: 10.4103/jpbs.JPBS_381_19
    Introduction: Non-vitamin K antagonist oral anticoagulants (NOACs), such as dabigatran and rivaroxaban, are now available for stroke prevention in patients with atrial fibrillation (AF) and are often clinically preferred over vitamin K antagonists (VKAs), such as warfarin. Data describing adherence and persistence to NOACs in real-life clinical practice in Malaysia are scarce. This study aimed to assess adherence and persistence to NOACs in patients with AF in two tertiary-care referral centers: Hospital Kuala Lumpur (HKL) and Hospital Serdang (HSDG).

    Materials and Methods: This was a retrospective cohort study that included all patients with AF who were treated with NOACs (dabigatran or rivaroxaban) in HKL and HSDG. Data were obtained from medical records and pharmacy databases. Adherence was assessed using proportion of days covered (PDC) over a 1-year duration. High adherence was defined as PDC ≥80%. A gap of >60 days between two consecutive refills was used to define non-persistence.

    Result: There were 281 patients who met the inclusion criteria, with 54.1% (n = 152) male. There were 75.1% (n = 211) patients on dabigatran and others on rivaroxaban. Only 66.9% (n = 188) of patients achieved high adherence with PDC ≥80% and 69.8% (n = 196) were persistence with >60-day gap over 12 months. Adherence and persistence were both influenced by treatment center, whereas polypharmacy only influenced adherence.

    Conclusion: Overall adherence and persistence to NOACs were suboptimal and varied between treatment centers, potentially due to institution-specific administrative and clinical practice differences. Clinical care and outcomes can potentially be optimized by identifying factors affecting adherence and persistence and by implementing interventions to improving them.

  4. Hussain I, Amara U, Bibi F, Hanan A, Lakhan MN, Soomro IA, et al.
    Adv Colloid Interface Sci, 2024 Jan 04;324:103077.
    PMID: 38219341 DOI: 10.1016/j.cis.2023.103077
    Ti-MXene allows a range of possibilities to tune their compositional stoichiometry due to their electronic and electrochemical properties. Other than conventionally explored Ti-MXene, there have been ample opportunities for the non-Ti-based MXenes, especially the emerging Mo-based MXenes. Mo-MXenes are established to be remarkable with optoelectronic and electrochemical properties, tuned energy, catalysis, and sensing applications. In this timely review, we systematically discuss the various organized synthesis procedures, associated experimental tunning parameters, physiochemical properties, structural evaluation, stability challenges, key findings, and a wide range of applications of emerging Mo-MXene over Ti-MXenes. We also critically examined the precise control of Mo-MXenes to cater to advanced applications by comprehensively evaluating the summary of recent studies using artificial intelligence and machine learning tools. The critical future perspectives, significant challenges, and possible outlooks for successfully developing and using Mo-MXenes for various practical applications are highlighted.
  5. AlBackr H, Alhabib KF, Sulaiman K, Jamee A, Sobhy M, Benkhedda S, et al.
    Curr Vasc Pharmacol, 2023;21(4):257-267.
    PMID: 37231723 DOI: 10.2174/1570161121666230525111259
    INTRODUCTION: PEACE MENA (Program for the Evaluation and Management of Cardiac Events in the Middle East and North Africa) is a prospective registry in Arab countries for in-patients with acute myocardial infarction (AMI) or acute heart failure (AHF). Here, we report the baseline characteristics and outcomes of in-patients with AHF who were enrolled during the first 14 months of the recruitment phase.

    METHODS: A prospective, multi-centre, multi-country study including patients hospitalized with AHF was conducted. Clinical characteristics, echocardiogram, BNP (B-type natriuretic peptide), socioeconomic status, management, 1-month, and 1-year outcomes are reported.

    RESULTS: Between April 2019 and June 2020, a total of 1258 adults with AHF from 16 Arab countries were recruited. Their mean age was 63.3 (±15) years, 56.8% were men, 65% had monthly income ≤US$ 500, and 56% had limited education. Furthermore, 55% had diabetes mellitus, 67% had hypertension; 55% had HFrEF (heart failure with reduced ejection fraction), and 19% had HFpEF (heart failure with preserved ejection fraction). At 1 year, 3.6% had a heart failure-related device (0-22%) and 7.3% used an angiotensin receptor neprilysin inhibitor (0-43%). Mortality was 4.4% per 1 month and 11.77% per 1-year post-discharge. Compared with higher-income patients, lower-income patients had a higher 1-year total heart failure hospitalization rate (45.6 vs 29.9%, p=0.001), and the 1-year mortality difference was not statistically significant (13.2 vs 8.8%, p=0.059).

    CONCLUSION: Most of the patients with AHF in Arab countries had a high burden of cardiac risk factors, low income, and low education status with great heterogeneity in key performance indicators of AHF management among Arab countries.

  6. Taha M, Rahim F, Ali M, Khan MN, Alqahtani MA, Bamarouf YA, et al.
    Molecules, 2019 Apr 18;24(8).
    PMID: 31003424 DOI: 10.3390/molecules24081528
    Chromen-4-one substituted oxadiazole analogs 1-19 have been synthesized, characterized and evaluated for β-glucuronidase inhibition. All analogs exhibited a variable degree of β-glucuronidase inhibitory activity with IC50 values ranging in between 0.8 ± 0.1-42.3 ± 0.8 μM when compared with the standard d-saccharic acid 1,4 lactone (IC50 = 48.1 ± 1.2 μM). Structure activity relationship has been established for all compounds. Molecular docking studies were performed to predict the binding interaction of the compounds with the active site of enzyme.
  7. Al-Ani LA, AlSaadi MA, Kadir FA, Hashim NM, Julkapli NM, Yehye WA
    Eur J Med Chem, 2017 Oct 20;139:349-366.
    PMID: 28806615 DOI: 10.1016/j.ejmech.2017.07.036
    Early detection and efficient treatment of cancer disease remains a drastic challenge in 21st century. Throughout the bulk of funds, studies, and current therapeutics, cancer seems to aggressively advance with drug resistance strains and recurrence rates. Nevertheless, nanotechnologies have indeed given hope to be the next generation for oncology applications. According to US National cancer institute, it is anticipated to revolutionize the perspectives of cancer diagnosis and therapy. With such success, nano-hybrid strategy creates a marvelous preference. Herein, graphene-gold based composites are being increasingly studied in the field of oncology, for their outstanding performance as robust vehicle of therapeutic agents, built-in optical diagnostic features, and functionality as theranostic system. Additional modes of treatments are also applicable including photothermal, photodynamic, as well as combined therapy. This review aims to demonstrate the various cancer-related applications of graphene-gold based hybrids in terms of detection and therapy, highlighting the major attributes that led to designate such system as a promising ally in the war against cancer.
  8. Al-Ani LA, Kadir FA, Hashim NM, Julkapli NM, Seyfoddin A, Lu J, et al.
    Heliyon, 2020 Nov;6(11):e05360.
    PMID: 33163675 DOI: 10.1016/j.heliyon.2020.e05360
    Natural plants derivatives have gained enormous merits in cancer therapy applications upon formulation with nanomaterials. Curcumin, as a popular research focus has acquired such improvements surpassing its disadvantageous low bioavailability. To this point, the available research data had confirmed the importance of nanomaterial type in orienting cellular response and provoking different toxicological and death mechanisms that may range from physical membrane damage to intracellular changes. This in turn underlines the poorly studied field of nanoformulation interaction with cells as the key determinant in toxicology outcomes. In this work, curcumin-AuNPs-reduced graphene oxide nanocomposite (CAG) was implemented as a model, to study the impact on cellular membrane integrity and the possible redox changes using colon cancer in vitro cell lines (HT-29 and SW-948), representing drug-responsive and resistant subtypes. Morphological and biochemical methods of transmission electron microscopy (TEM), apoptosis assay, reactive oxygen species (ROS) and antioxidants glutathione and superoxide dismutase (GSH and SOD) levels were examined with consideration to suitable protocols and vital optimizations. TEM micrographs proved endocytic uptake with succeeding cytoplasm deposition, which unlike other nanomaterials studied previously, conserved membrane integrity allowing intracellular cytotoxic mechanism. Apoptosis was confirmed with gold-standard morphological features observed in micrographs, while redox parameters revealed a time-dependent increase in ROS accompanied with regressive GSH and SOD levels. Collectively, this work demonstrates the success of graphene as a platform for curcumin intracellular delivery and cytotoxicity, and further highlights the importance of suitable in vitro methods to be used for nanomaterial validation.
  9. Zarzour RHA, Alshawsh MA, Asif M, Al-Mansoub MA, Mohamed Z, Ahmad M, et al.
    Nutrients, 2018 Aug 09;10(8).
    PMID: 30096951 DOI: 10.3390/nu10081057
    The growth of adipose tissues is considered angiogenesis-dependent during non-alcoholic fatty liver disease (NAFLD). We have recently reported that our standardized 50% methanolic extract (ME) of Phyllanthus niruri (50% ME of P. niruri) has alleviated NAFLD in Sprague⁻Dawley rats. This study aimed to assess the molecular mechanisms of action, and to further evaluate the antiangiogenic effect of this extract. NAFLD was induced by eight weeks of high-fat diet, and treatment was applied for four weeks. Antiangiogenic activity was assessed by aortic ring assay and by in vitro tests. Our findings demonstrated that the therapeutic effects of 50% ME among NAFLD rats, were associated with a significant increase in serum adiponectin, reduction in the serum levels of RBP4, vaspin, progranulin, TNF-α, IL-6, and significant downregulation of the hepatic gene expression of PPARγ, SLC10A2, and Collα1. Concomitantly, 50% ME of P. niruri has exhibited a potent antiangiogenic activity on ring assay, cell migration, vascular endothelial growth factor (VEGF), and tube formation, without any cytotoxic effect. Together, our findings revealed that the protective effects of P. niruri against NAFLD might be attributed to its antiangiogenic effect, as well as to the regulation of adipocytokines and reducing the expression of adipogenic genes.
  10. Hassanein M, Hussein Z, Shaltout I, Wan Seman WJ, Tong CV, Mohd Noor N, et al.
    Diabetes Res Clin Pract, 2021 Mar;173:108674.
    PMID: 33493579 DOI: 10.1016/j.diabres.2021.108674
    OBJECTIVES: The DAR Global survey of Ramadan-fasting during the COVID-19 pandemic aimed to describe the characteristics and care in participants with type 2 diabetes (T2D) with a specific comparison between those <65 years and ≥65 years.

    METHODS: Participants were consented to answer a physician-administered questionnaire following Ramadan 2020. Impact of COVID-19 on the decision of fasting, intentions to fast and duration of Ramadan and Shawal fasting, hypoglycaemia and hyperglycaemia events were assessed. Specific analysis comparing age categories of <65 years and ≥65 years were performed.

    RESULTS: Among the 5865 participants, 22.5% were ≥65 years old. Concern for COVID-19 affected fasting decision for 7.6% (≥65 years) vs 5.4% (<65 years). More participants ≥65 years old did not fast (28.8% vs 12.7%, <65 years). Of the 83.6%, participants fulfilling Ramadan-fasting, 94.8% fasted ≥15 days and 12.6% had to break fast due to diabetes-related illness. The average number of days fasting within and post-Ramadan were 27 and 6 days respectively, regardless of age. Hypoglycaemia and hyperglycaemia occurred in 15.7% and 16.3% of participants respectively, with 6.5% and 7.4% requiring hospital care respectively. SMBG was performed in 73.8% of participants and 43.5% received Ramadan-focused education.

    CONCLUSION: During the COVID-19 pandemic, universally high rates of Ramadan-fasting were observed regardless of fasting risk level. Glycemic complications occurred frequently with older adults requiring higher rates of acute hospital care. Risk stratification is essential followed by pre-Ramadan interventions, Ramadan-focused diabetes education and self-monitoring to reduce and prevent complications, with particular emphasis in older adults.

  11. Maas RR, Iwanicka-Pronicka K, Kalkan Ucar S, Alhaddad B, AlSayed M, Al-Owain MA, et al.
    Ann Neurol, 2017 Dec;82(6):1004-1015.
    PMID: 29205472 DOI: 10.1002/ana.25110
    OBJECTIVE: 3-Methylglutaconic aciduria, dystonia-deafness, hepatopathy, encephalopathy, Leigh-like syndrome (MEGDHEL) syndrome is caused by biallelic variants in SERAC1.

    METHODS: This multicenter study addressed the course of disease for each organ system. Metabolic, neuroradiological, and genetic findings are reported.

    RESULTS: Sixty-seven individuals (39 previously unreported) from 59 families were included (age range = 5 days-33.4 years, median age = 9 years). A total of 41 different SERAC1 variants were identified, including 20 that have not been reported before. With the exception of 2 families with a milder phenotype, all affected individuals showed a strikingly homogeneous phenotype and time course. Severe, reversible neonatal liver dysfunction and hypoglycemia were seen in >40% of all cases. Starting at a median age of 6 months, muscular hypotonia (91%) was seen, followed by progressive spasticity (82%, median onset = 15 months) and dystonia (82%, 18 months). The majority of affected individuals never learned to walk (68%). Seventy-nine percent suffered hearing loss, 58% never learned to speak, and nearly all had significant intellectual disability (88%). Magnetic resonance imaging features were accordingly homogenous, with bilateral basal ganglia involvement (98%); the characteristic "putaminal eye" was seen in 53%. The urinary marker 3-methylglutaconic aciduria was present in virtually all patients (98%). Supportive treatment focused on spasticity and drooling, and was effective in the individuals treated; hearing aids or cochlear implants did not improve communication skills.

    INTERPRETATION: MEGDHEL syndrome is a progressive deafness-dystonia syndrome with frequent and reversible neonatal liver involvement and a strikingly homogenous course of disease. Ann Neurol 2017;82:1004-1015.

  12. Wortmann SB, van Hasselt PM, Barić I, Burlina A, Darin N, Hörster F, et al.
    Neuropediatrics, 2015 Apr;46(2):98-103.
    PMID: 25642805 DOI: 10.1055/s-0034-1399755
    Pediatric movement disorders are still a diagnostic challenge, as many patients remain without a (genetic) diagnosis. Magnetic resonance imaging (MRI) pattern recognition can lead to the diagnosis. MEGDEL syndrome (3-MethylGlutaconic aciduria, Deafness, Encephalopathy, Leigh-like syndrome MIM #614739) is a clinically and biochemically highly distinctive dystonia deafness syndrome accompanied by 3-methylglutaconic aciduria, severe developmental delay, and progressive spasticity. Mutations are found in SERAC1, encoding a phosphatidylglycerol remodeling enzyme essential for both mitochondrial function and intracellular cholesterol trafficking. Based on the homogenous phenotype, we hypothesized an accordingly characteristic MRI pattern. A total of 43 complete MRI studies of 30 patients were systematically reevaluated. All patients presented a distinctive brain MRI pattern with five characteristic disease stages affecting the basal ganglia, especially the putamen. In stage 1, T2 signal changes of the pallidum are present. In stage 2, swelling of the putamen and caudate nucleus is seen. The dorsal putamen contains an "eye" that shows no signal alteration and (thus) seems to be spared during this stage of the disease. It later increases, reflecting progressive putaminal involvement. This "eye" was found in all patients with MEGDEL syndrome during a specific age range, and has not been reported in other disorders, making it pathognomonic for MEDGEL and allowing diagnosis based on MRI findings.
  13. Abdulhafiz F, Mohammed A, Reduan MFH, Hamzah Z, Kari ZA, Téllez-Isaías G
    Heliyon, 2023 Jul;9(7):e18069.
    PMID: 37483701 DOI: 10.1016/j.heliyon.2023.e18069
    Hyperuricemia has become a significant public-health concern in recent years, and the available treatments have been reported to have an adverse side effect on patients. Alocasia longiloba has been used traditionally in Malaysia for treating gout, inflammation, and wounds. However, the plant has not been investigated for its effects on hyperuricemia. This study investigated the anti-hyperuricemic and anti-inflammatory effects of A. longiloba extracts in hyperuricemic rats induced by potassium oxonate (250 mg/kg body weight). Rats were given A. longiloba extracts or a standard drug for two-week, and blood and tissue samples were collected for analysis. Results show that A. longiloba extracts significantly reduced serum uric acid levels in hyperuricemic rats and inhibited xanthine oxidase (XOD) activity in the liver and kidney, which could be the mechanism underlying the urate-lowering effects. The extracts also significantly (p 
  14. Mafarja M, Thaher T, Al-Betar MA, Too J, Awadallah MA, Abu Doush I, et al.
    Appl Intell (Dordr), 2023 Feb 09.
    PMID: 36785593 DOI: 10.1007/s10489-022-04427-x
    Software Fault Prediction (SFP) is an important process to detect the faulty components of the software to detect faulty classes or faulty modules early in the software development life cycle. In this paper, a machine learning framework is proposed for SFP. Initially, pre-processing and re-sampling techniques are applied to make the SFP datasets ready to be used by ML techniques. Thereafter seven classifiers are compared, namely K-Nearest Neighbors (KNN), Naive Bayes (NB), Linear Discriminant Analysis (LDA), Linear Regression (LR), Decision Tree (DT), Support Vector Machine (SVM), and Random Forest (RF). The RF classifier outperforms all other classifiers in terms of eliminating irrelevant/redundant features. The performance of RF is improved further using a dimensionality reduction method called binary whale optimization algorithm (BWOA) to eliminate the irrelevant/redundant features. Finally, the performance of BWOA is enhanced by hybridizing the exploration strategies of the grey wolf optimizer (GWO) and harris hawks optimization (HHO) algorithms. The proposed method is called SBEWOA. The SFP datasets utilized are selected from the PROMISE repository using sixteen datasets for software projects with different sizes and complexity. The comparative evaluation against nine well-established feature selection methods proves that the proposed SBEWOA is able to significantly produce competitively superior results for several instances of the evaluated dataset. The algorithms' performance is compared in terms of accuracy, the number of features, and fitness function. This is also proved by the 2-tailed P-values of the Wilcoxon signed ranks statistical test used. In conclusion, the proposed method is an efficient alternative ML method for SFP that can be used for similar problems in the software engineering domain.
  15. Hasanain Faisal Ghazi, Zaleha Md. Isa, Mohammed A. Abdal Qader, Tiba Nezar Hasan
    MyJurnal
    The unstable living situation in Iraq in the last 10 years after 2003 war affected the daily life of most Iraqis, and especially the children. The objective of this study was to explore the effects of an unstable living environment on children’s health. A community-based qualitative study was done to collect data from 20 mothers of children (age 7 to 8years old) through in-depth interview (IDI). Data was recorded using tape recorders and was later transcribed and analyzed using qualitative thematic analysis techniques. The majority of mothers interviewed said the past nine years of unstable security in the capital had affected their daily life; some mothers also expressed concern about their child’s nutritional status, their eating habits during the school day, and the unhealthy food being sold at school canteens. As a conclusion, the unstable living situations in Baghdad city after the last war had affected the cognitive and nutritional development of children. More precautions should be taken by parents to ensure their children safety in the future.
  16. Mohammed A. Abdal Qader, Shamsul Azhar Shah, Zaleha Md Isa, Hasanain Faisal Ghazi, Idayu Badilla, Tiba Nezar Hasan
    MyJurnal
    Great importance has been attributed to birth weight all over the world because it is considered as one of the best predictors of prenatal survival and a good indicator of quality life. The objective of this study was to determine the prevalence of low birth weight babies (LBW) and factors related to it in Baghdad city. A cross sectional study was carried out in four general hospitals in Baghdad city, Iraq. A total of 225 newborn babies, alive, singleton and without congenital malformation were selected randomly from these four general hospitals.The result of the study showed the prevalence rate of low birth weights was 21.3%. Mothers’ educational level, monthly family income, mothers with chronic hypertension, mothers with history of previous low birth weight infants and anemic mothers were significantly associated with low birth weight babies (P= 0.03, 0.01, 0.02,
  17. Safdar MH, Hussain Z, Abourehab MAS, Hasan H, Afzal S, Thu HE
    Artif Cells Nanomed Biotechnol, 2018 Dec;46(8):1967-1980.
    PMID: 29082766 DOI: 10.1080/21691401.2017.1397001
    This review aims to overview and critically analyses recent developments in achieving tumour-specific delivery of anticancer agents, maximizing anticancer efficacy, and mitigating tumour progression and off-target effects. Stemming from critical needs to develop target-specific delivery vehicles in cancer therapy, various hyaluronic acid (HA)-conjugated nanomedicines have been fabricated owing to their biocompatibility, safety, tumour-specific targetability of drugs and genes, and proficient interaction with cluster-determinant-44 (CD44) receptors over-expressed on the surface of tumour cells. HA-based conjugation or surface modulation of anticancer drugs encapsulated nanocarriers have shown promising efficacy against the various types of carcinomas of liver, breast, colorectal, pancreatic, lung, skin, ovarian, cervical, head and neck and gastric. The success of this emerging platform is assessed in achieving the rapid internalization of anticancer payloads into the tumour cells, impeding cancer cells division and proliferation, induction of cancer-specific apoptosis and prevention of metastasis (tumour progression). This review extends detailed insight into the engineering of HA-based nanomedicines, characterization, utilization for the diagnosis or treatment of CD44 over-expressing cancer subtypes and emphasizing the transition of nanomedicines to clinical cancer therapy.
  18. Mook WT, Ajeel MA, Aroua MK, Szlachta M
    J Environ Sci (China), 2017 Apr;54:184-195.
    PMID: 28391928 DOI: 10.1016/j.jes.2016.02.003
    In this work a novel anode configuration consisting of an iron mesh double layer is proposed for the electrochemical treatment of wastewater. The removal of Reactive Black 5 dye (RB5) from synthetic contaminated water was used as a model system. At a constant anode surface area, identical process operating parameters and batch process mode, the iron mesh double layer electrode showed better performance compared to the conventional single layer iron mesh. The double layer electrode was characterized by RB5 and chemical oxygen demand (COD) removal efficiency of 98.2% and 97.7%, respectively, kinetic rate constant of 0.0385/min, diffusion coefficient of 4.9×10(-5)cm(2)/sec and electrical energy consumption of 20.53kWh/kgdye removed. In the continuous flow system, the optimum conditions suggested by Response Surface Methodology (RSM) are: initial solution pH of 6.29, current density of 1.6mA/cm(2), electrolyte dose of 0.15g/L and flow rate of 11.47mL/min which resulted in an RB5 removal efficiency of 81.62%.
  19. Beshir KB, Grignard L, Hajissa K, Mohammed A, Nurhussein AM, Ishengoma DS, et al.
    Am J Trop Med Hyg, 2020 08;103(2):558-560.
    PMID: 32553046 DOI: 10.4269/ajtmh.20-0467
    Rapid diagnostic tests (RDTs) play a critical role in malaria diagnosis and control. The emergence of Plasmodium falciparum parasites that can evade detection by RDTs threatens control and elimination efforts. These parasites lack or have altered genes encoding histidine-rich proteins (HRPs) 2 and 3, the antigens recognized by HRP2-based RDTs. Surveillance of such parasites is dependent on identifying false-negative RDT results among suspected malaria cases, a task made more challenging during the current pandemic because of the overlap of symptoms between malaria and COVID-19, particularly in areas of low malaria transmission. Here, we share our perspective on the emergence of P. falciparum parasites lacking HRP2 and HRP3, and the surveillance needed to identify them amid the COVID-19 pandemic.
  20. Choy SH, Al-Mekhlafi HM, Mahdy MA, Nasr NN, Sulaiman M, Lim YA, et al.
    Sci Rep, 2014;4:6909.
    PMID: 25366301 DOI: 10.1038/srep06909
    This study was carried out to investigate the prevalence and risk factors of Giardia infection among indigenous people in rural Malaysia. Faecal samples were collected from 1,330 participants from seven states of Malaysia and examined by wet mount and formalin-ether sedimentation methods while demographic, socioeconomic and environmental information was collected using a pre-tested questionnaire. The overall prevalence of Giardia infection was 11.6% and was significantly higher among those aged ≤ 12 years compared to their older counterparts. Multivariate logistic regression identified age of ≤ 12 years, lacking of toilet at household, not washing hands before eating, not washing hands after playing with animals, not boiling water before consumption, bathing in the river, and not wearing shoes when outside as the significant risk factors of Giardia infection among these communities. Based on a multilocus genotyping approach (including tpi, gdh and bg gene sequences), 69 isolates were identified as assemblage A, and 69 as assemblage B. No association between the assemblages and presence of symptoms was found. Providing proper sanitation, as well as provision of clean drinking water and proper health education regarding good personal hygiene practices will help significantly in reducing the prevalence and burden of Giardia infection in these communities.
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