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  1. Fulltext Entropy and Gaussian Filter-Based Adaptive Active Contour for Segmentation of Skin Lesions
    Mustafa S, Iqbal MW, Rana TA, Jaffar A, Shiraz M, Arif M, et al.
    Comput Intell Neurosci, 2022;2022:4348235.
    PMID: 35909861 DOI: 10.1155/2022/4348235
    Malignant melanoma is considered one of the deadliest skin diseases if ignored without treatment. The mortality rate caused by melanoma is more than two times that of other skin malignancy diseases. These facts encourage computer scientists to find automated methods to discover skin cancers. Nowadays, the analysis of skin images is widely used by assistant physicians to discover the first stage of the disease automatically. One of the challenges the computer science researchers faced when developing such a system is the un-clarity of the existing images, such as noise like shadows, low contrast, hairs, and specular reflections, which complicates detecting the skin lesions in that images. This paper proposes the solution to the problem mentioned earlier using the active contour method. Still, seed selection in the dynamic contour method has the main drawback of where it should start the segmentation process. This paper uses Gaussian filter-based maximum entropy and morphological processing methods to find automatic seed points for active contour. By incorporating this, it can segment the lesion from dermoscopic images automatically. Our proposed methodology tested quantitative and qualitative measures on standard dataset dermis and used to test the proposed method's reliability which shows encouraging results.
  2. Application of CHIRPS dataset in the selection of rain-based indices for drought assessments in Johor River Basin, Malaysia
    Sa'adi Z, Yusop Z, Alias NE, Shiru MS, Muhammad MKI, Ramli MWA
    Sci Total Environ, 2023 Sep 20;892:164471.
    PMID: 37257620 DOI: 10.1016/j.scitotenv.2023.164471
    This paper aims to select the most appropriate rain-based meteorological drought index for detecting drought characteristics and identifying tropical drought events in the Johor River Basin (JRB). Based on a multi-step approach, the study evaluated seven drought indices, including the Rainfall Anomaly Index (RAI), Standardized Precipitation Index (SPI), China-Z Index (CZI), Modified China-Z Index (MCZI), Percent of Normal (PN), Deciles Index (DI), and Z-Score Index (ZSI), based on the CHIRPS rainfall gridded-based datasets from 1981 to 2020. Results showed that CZI, MCZI, SPI, and ZSI outperformed the other indices based on their correlation and linearity (R2 = 0.96-0.99) along with their ranking based on the Compromise Programming Index (CPI). The historical drought evaluation revealed that MCZI, SPI, and ZSI performed similarly in detecting drought events, but SPI was more effective in detecting spatial coverage and the occurrence of 'very dry' and 'extremely dry' drought events. Based on SPI, the study found that the downstream area, north-easternmost area, and eastern boundary of the basin were more prone to higher frequency and longer duration droughts. Furthermore, the study found that prolonged droughts are characterized by episodic drought events, which occur with one to three months of 'relief period' before another drought event occurs. The study revealed that most drought events that coincide with El Niño, positive Indian Ocean Dipole (IOD), and negative Madden-Julian Oscillation (MJO) events, or a combination of these events, may worsen drought conditions. The application of CHIRPS datasets enables better spatiotemporal mapping and prediction of drought for JRB, and the output is pertinent for improving water management strategies and adaptation measures. Understanding spatiotemporal drought conditions is crucial to ensuring sustainable development and policies through better regulation of human activities. The framework of this research can be applied to other river basins in Malaysia and other parts of Southeast Asia.
  3. Fulltext Evaluation of 2 Artificial Intelligence Software for Chest X-Ray Screening and Pulmonary Tuberculosis Diagnosis: Protocol for a Retrospective Case-Control Study
    Mohd Hisham MF, Lodz NA, Muhammad EN, Asari FN, Mahmood MI, Abu Bakar Z
    JMIR Res Protoc, 2023 Jul 25;12:e36121.
    PMID: 37490330 DOI: 10.2196/36121
    BACKGROUND: According to the World Bank, Malaysia reported an estimated 97 tuberculosis cases per 100,000 people in 2021. Chest x-ray (CXR) remains the best conventional method for the early detection of pulmonary tuberculosis (PTB) infection. The intervention of artificial intelligence (AI) in PTB diagnosis could efficiently aid human interpreters and reduce health professionals' work burden. To date, no AI studies have been evaluated in Malaysia.

    OBJECTIVE: This study aims to evaluate the performance of Putralytica and Qure.ai software for CXR screening and PTB diagnosis among the Malaysian population.

    METHODS: We will conduct a retrospective case-control study at the Respiratory Medicine Institute, National Cancer Institute, and Sungai Buloh Health Clinic. A total of 1500 CXR images of patients who completed treatments or check-ups will be selected and categorized into three groups: (1) abnormal PTB cases, (2) abnormal non-PTB cases, and (3) normal cases. These CXR images, along with their clinical findings, will be the reference standard in this study. All patient data, including sociodemographic characteristics and clinical history, will be collected prior to screening via Putralytica and Qure.ai software and readers' interpretation, which are the index tests for this study. Interpretation from all 3 index tests will be compared with the reference standard, and significant statistical analysis will be computed.

    RESULTS: Data collection is expected to commence in August 2023. It is anticipated that 1 year will be needed to conduct the study.

    CONCLUSIONS: This study will measure the accuracy of Putralytica and Qure.ai software and whether their findings will concur with readers' interpretation and the reference standard, thus providing evidence toward the effectiveness of implementing AI in the medical setting.

    INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/36121.

  4. Fulltext Boosting-based ensemble machine learning models for predicting unconfined compressive strength of geopolymer stabilized clayey soil
    Abdullah GMS, Ahmad M, Babur M, Badshah MU, Al-Mansob RA, Gamil Y, et al.
    Sci Rep, 2024 Jan 28;14(1):2323.
    PMID: 38282061 DOI: 10.1038/s41598-024-52825-7
    The present research employs new boosting-based ensemble machine learning models i.e., gradient boosting (GB) and adaptive boosting (AdaBoost) to predict the unconfined compressive strength (UCS) of geopolymer stabilized clayey soil. The GB and AdaBoost models were developed and validated using 270 clayey soil samples stabilized with geopolymer, with ground-granulated blast-furnace slag and fly ash as source materials and sodium hydroxide solution as alkali activator. The database was randomly divided into training (80%) and testing (20%) sets for model development and validation. Several performance metrics, including coefficient of determination (R2), mean absolute error (MAE), root mean square error (RMSE), and mean squared error (MSE), were utilized to assess the accuracy and reliability of the developed models. The statistical results of this research showed that the GB and AdaBoost are reliable models based on the obtained values of R2 (= 0.980, 0.975), MAE (= 0.585, 0.655), RMSE (= 0.969, 1.088), and MSE (= 0.940, 1.185) for the testing dataset, respectively compared to the widely used artificial neural network, random forest, extreme gradient boosting, multivariable regression, and multi-gen genetic programming based models. Furthermore, the sensitivity analysis result shows that ground-granulated blast-furnace slag content was the key parameter affecting the UCS.
  5. Fulltext Comparison of doxorubicin anticancer drug loading on different metal oxide nanoparticles
    Javed KR, Ahmad M, Ali S, Butt MZ, Nafees M, Butt AR, et al.
    Medicine (Baltimore), 2015 Mar;94(11):e617.
    PMID: 25789952 DOI: 10.1097/MD.0000000000000617
    Nanomaterials are being vigorously investigated for their use in anticancer drug delivery regimes or as biomarkers agents and are considered to be a candidate to provide a way to combat severe weaknesses of anticancer drug pharmacokinetics, such as their nonspecificity. Because of this weakness, a bigger proportion of the drug-loaded nanomaterials flow toward healthy tissues and result in undesirable side effects. It is very important to evaluate drug loading and release efficiency of various nanomaterials to find out true pharmacokinetics of these drugs.This observational study aims to evaluate various surface functionalized and naked nanomaterials for their drug loading capability and consequently strengthens the Reporting of Observational Studies in Epidemiology (STROBE). We analyzed naked and coated nanoparticles of transition metal oxides for their further loading with doxorubicin, a representative water-soluble anticancer drug.Various uncoated and polyethylene glycol-coated metal oxide nanoparticles were synthesized and loaded with anticancer drug using simple stirring of the nanoparticles in a saturated aqueous solution of the drug. Results showed that surface-coated nanoparticles have higher drug-loading capabilities; however, certain naked metal oxide nanoparticles, such as cobalt oxide nanoparticles, can load a sufficient amount of drug.
  6. Fulltext Potential biosorbent derived from Calligonum polygonoides for removal of methylene blue dye from aqueous solution
    Nasrullah A, Khan H, Khan AS, Man Z, Muhammad N, Khan MI, et al.
    ScientificWorldJournal, 2015;2015:562693.
    PMID: 25705714 DOI: 10.1155/2015/562693
    The ash of C. polygonoides (locally called balanza) was collected from Lakki Marwat, Khyber Pakhtunkhwa, Pakistan, and was utilized as biosorbent for methylene blue (MB) removal from aqueous solution. The ash was used as biosorbent without any physical or chemical treatment. The biosorbent was characterized by using various techniques such as Fourier transform infrared spectroscopy (FTIR), thermogravimetric analysis (TGA), and scanning electron microscopy (SEM). The particle size and surface area were measured using particle size analyzer and Brunauer-Emmett-Teller equation (BET), respectively. The SEM and BET results expressed that the adsorbent has porous nature. Effects of various conditions such as initial concentration of methylene blue (MB), initial pH, contact time, dosage of biosorbent, and stirring rate were also investigated for the adsorption process. The rate of the adsorption of MB on biomass sample was fast, and equilibrium has been achieved within 1 hour. The kinetics of MB adsorption on biosorbent was studied by pseudo-first- and pseudo-second-order kinetic models and the pseudo-second-order has better mathematical fit with correlation coefficient value (R (2)) of 0.999. The study revealed that C. polygonoides ash proved to be an effective, alternative, inexpensive, and environmentally benign biosorbent for MB removal from aqueous solution.
  7. Fulltext Impact of tuberculosis treatment on health-related quality of life of pulmonary tuberculosis patients: a follow-up study
    Atif M, Sulaiman SA, Shafie AA, Asif M, Sarfraz MK, Low HC, et al.
    Health Qual Life Outcomes, 2014;12:19.
    PMID: 24528499 DOI: 10.1186/1477-7525-12-19
    At present, much of the attention within tuberculosis (TB) management is spent on microbiological cure, and its impact on health-related quality of life (HRQoL) is either undervalued or seldom considered. The aim of this study was to evaluate the impact of TB treatment on HRQoL of new smear positive pulmonary tuberculosis (PTB) patients. Moreover, we also aimed to determine whether the selected socio-demographic and clinical variables were predictive of variability in the HRQoL scores over time.
  8. Hybrid benzothiazole analogs as antiurease agent: Synthesis and molecular docking studies
    Taha M, Ismail NH, Imran S, Wadood A, Rahim F, Khan KM, et al.
    Bioorg Chem, 2016 Jun;66:80-7.
    PMID: 27038849 DOI: 10.1016/j.bioorg.2016.03.010
    Benzothiazole analogs (1-20) have been synthesized, characterized by EI-MS and (1)H NMR, and evaluated for urease inhibition activity. All compounds showed excellent urease inhibitory potential varying from 1.4±0.10 to 34.43±2.10μM when compared with standard thiourea (IC50 19.46±1.20μM). Among the series seventeen (17) analogs 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 17, and 18 showed outstanding urease inhibitory potential. Analogs 15 and 19 also showed good urease inhibition activity. When we compare the activity of N-phenylthiourea 20 with all substituted phenyl derivatives (1-18) we found that compound 15 showed less activity than compound 20 having 3-methoxy substituent. The binding interactions of these active analogs were confirmed through molecular docking.
  9. Synthesis of novel flavone hydrazones: in-vitro evaluation of α-glucosidase inhibition, QSAR analysis and docking studies
    Imran S, Taha M, Ismail NH, Kashif SM, Rahim F, Jamil W, et al.
    Eur J Med Chem, 2015 Nov 13;105:156-70.
    PMID: 26491979 DOI: 10.1016/j.ejmech.2015.10.017
    Thirty derivatives of flavone hydrazone (5-34) had been synthesized through a five-step reaction and screened for their α-glucosidase inhibition activity. Chalcone 1 was synthesized through aldol condensation then subjected through oxidative cyclization, esterification, and condensation reaction to afford the final products. The result for baker's yeast α-glucosidase (EC 3.2.1.20) inhibition assay showed that all compounds are active with reference to the IC50 value of the acarbose (standard drug) except for compound 3. Increase in activity observed for compounds 2 to 34 clearly highlights the importance of flavone, hydrazide and hydrazone linkage in suppressing the activity of α-glucosidase. Additional functional group on N-benzylidene moiety further enhances the activity significantly. Compound 5 (15.4 ± 0.22 μM), a 2,4,6-trihydroxy substituted compound, is the most active compound in the series. Other compounds which were found to be active are those having chlorine, fluorine, and nitro substituents. Compounds with methoxy, pyridine, and methyl substituents are weakly active. Further studies showed that they are not active in inhibiting histone deacetylase activity and do not possess any cytotoxic properties. QSAR model was being developed to further identify the structural requirements contributing to the activity. Using Discovery Studio (DS) 2.5, various 2D descriptors were being used to develop the model. The QSAR model is able to predict the pIC50 and could be used as a prediction tool for compounds having the same skeletal framework. Molecular docking was done for all compounds using homology model of α-glucosidase to identify important binding modes responsible for inhibition activity.
  10. Fulltext A Scoping Review of the Factor Associated with Older Adults' Mobility Barriers
    Che Had NH, Alavi K, Md Akhir N, Muhammad Nur IR, Shuhaimi MSZ, Foong HF
    Int J Environ Res Public Health, 2023 Feb 27;20(5).
    PMID: 36901256 DOI: 10.3390/ijerph20054243
    The phenomenon of ageing may contribute to the rise of the dependent population. Due to the obstacles and difficulties they confront, the elderly's mobility decreases significantly. The aim of this article is to identify factors associated with mobility barriers in older adults. The method employed is an examination of articles published between 2011 and 2022 to identify common themes in previous studies. Four search engines were being used, and 32 articles have been included. This study demonstrated that health is a major factor associated with decreased mobility. This review identified four types of barriers which are health, built environment, socio-economic background and social relation change. This review could help policy makers and gerontologist in identifying solutions to resolve the mobility issues in older people.
  11. Fulltext Investigation on three-dimensional printed prosthetics leg sockets coated with different reinforcement materials: analysis on mechanical strength and microstructural
    Ramlee MH, Ammarullah MI, Mohd Sukri NS, Faidzul Hassan NS, Baharuddin MH, Abdul Kadir MR
    Sci Rep, 2024 Mar 21;14(1):6842.
    PMID: 38514731 DOI: 10.1038/s41598-024-57454-8
    Previous research has primarily focused on pre-processing parameters such as design, material selection, and printing techniques to improve the strength of 3D-printed prosthetic leg sockets. However, these methods fail to address the major challenges that arise post-printing, namely failures at the distal end of the socket and susceptibility to shear failure. Addressing this gap, the study aims to enhance the mechanical properties of 3D-printed prosthetic leg sockets through post-processing techniques. Fifteen PLA + prosthetic leg sockets are fabricated and reinforced with four materials: carbon fiber, carbon-Kevlar fiber, fiberglass, and cement. Mechanical and microstructural properties of the sockets are evaluated through axial compression testing and scanning electron microscopy (SEM). Results highlight superior attributes of cement-reinforced sockets, exhibiting significantly higher yield strength (up to 89.57% more than counterparts) and higher Young's modulus (up to 76.15% greater). SEM reveals correlations between microstructural properties and socket strength. These findings deepen the comprehension of 3D-printed prosthetic leg socket post-processing, presenting optimization prospects. Future research can focus on refining fabrication techniques, exploring alternative reinforcement materials, and investigating the long-term durability and functionality of post-processed 3D-printed prosthetic leg sockets.
  12. Giardia lamblia Immunoassay: Systematic review and meta-analysis
    Aziz AFE, Roshidi N, Muhammad Hanif MDH, Tye GJ, Arifin N
    Clin Chim Acta, 2024 Jul 15;561:119839.
    PMID: 38964570 DOI: 10.1016/j.cca.2024.119839
    Immunoassays are important tools in diagnosing giardiasis, though there are several controversies inherent in the existing methods. We conducted a systematic review and meta-analysis to assess the pooled diagnostic accuracy of immunoassays in detecting the gastrointestinal disease-causing parasite Giardia lamblia. Our comprehensive search, which included PubMed, Scopus, and ScienceDirect from 2000 up until 2023, resulted in 34 studies reporting the performance of 24 different immunoassays. The overall pooled sensitivity and specificity of immunoassays and subgroup analyses were determined. Notably, ImmunoCardSTAT® and RIDASCREEN® Giardia were the most used assays (n = 6 studies each). They exhibited sensitivity and specificity of 84 % and 99 % and 93 % and 99 %, respectively. Sub-group analysis on the type of immunoassays (without the case-control studies) showed that commercial ELISA had higher sensitivity (96 %) compared to a commercial immunochromatographic (88 %), which justifies the difference of sensitivity between ImmunoCardSTAT® and RIDASCREEN® Giardia. However, the applicability between these two in clinical settings, replacing the gold standard, should be considered including the time, equipment requirement, and budget. Samples from symptomatic patients showed higher sensitivity (92 %) compared to asymptomatic patients (79 %). Overall, immunoassays can be a practical replacement for the current gold standard, but more information should be gathered regarding the cost of providing more conclusive suggestions on these findings.
  13. Fulltext Waste management and green technology: future trends in circular economy leading towards environmental sustainability
    Tanveer M, Khan SAR, Umar M, Yu Z, Sajid MJ, Haq IU
    Environ Sci Pollut Res Int, 2022 Nov;29(53):80161-80178.
    PMID: 36197607 DOI: 10.1007/s11356-022-23238-8
    The effective treatment of waste to be used as a resource in future has a major role in achieving environmental sustainability and moving towards circular economy. The current research is aimed to provide in-depth detail regarding prominent trends and research themes, evolution, future research orientation, main characteristics, and mapping of research publications on waste management, technological innovation in circular economy domain from the year 2000 to 2021. Different analyses including text mining and bibliometric and content analyses were applied to answer the research question and provide the details on aforementioned variables. From the bibliometric analyses, a total of 1118 articles were drawn out from the Scopus database to conceptualize the core body of research. As a result, the following themes were identified: electronic waste, circular economy transition, plastic waste, bio-based waste management, lifecycle assessment, and ecological impacts, and construction and demolition waste management. The highlighted features, future research orientation, and prominent research perspective can provide guideline for future research to enrich the literature through conducting studies on provided research directions and help lead waste management and technological innovation policymakers, professionals, and practitioners in moving towards circular transition.
  14. Artificial neural network modeling for the prediction, estimation, and treatment of diverse wastewaters: A comprehensive review and future perspective
    Ibrahim M, Haider A, Lim JW, Mainali B, Aslam M, Kumar M, et al.
    Chemosphere, 2024 Jul 15;362:142860.
    PMID: 39019174 DOI: 10.1016/j.chemosphere.2024.142860
    The application of artificial neural networks (ANNs) in the treatment of wastewater has achieved increasing attention, as it enhances the efficiency and sustainability of wastewater treatment plants (WWTPs). This paper explores the application of ANN-based models in WWTPs, focusing on the latest published research work, by presenting the effectiveness of ANNs in predicting, estimating, and treatment of diverse types of wastewater. Furthermore, this review comprehensively examines the applicability of the ANNs in various processes and methods used for wastewater treatment, including membrane and membrane bioreactors, coagulation/flocculation, UV-disinfection processes, and biological treatment systems. Additionally, it provides a detailed analysis of pollutants viz organic and inorganic substances, nutrients, pharmaceuticals, drugs, pesticides, dyes, etc., from wastewater, utilizing both ANN and ANN-based models. Moreover, it assesses the techno-economic value of ANNs, provides cost estimation and energy analysis, and outlines promising future research directions of ANNs in wastewater treatment. AI-based techniques are used to predict parameters such as chemical oxygen demand (COD) and biological oxygen demand (BOD) in WWTP influent. ANNs have been formed for the estimation of the removal efficiency of pollutants such as total nitrogen (TN), total phosphorus (TP), BOD, and total suspended solids (TSS) in the effluent of WWTPs. The literature also discloses the use of AI techniques in WWT is an economical and energy-effective method. AI enhances the efficiency of the pumping system, leading to energy conservation with an impressive average savings of approximately 10%. The system can achieve a maximum energy savings state of 25%, accompanied by a notable reduction in costs of up to 30%.
  15. Fulltext Multi-Omics Approaches and Resources for Systems-Level Gene Function Prediction in the Plant Kingdom
    Abdullah-Zawawi MR, Govender N, Harun S, Muhammad NAN, Zainal Z, Mohamed-Hussein ZA
    Plants (Basel), 2022 Oct 05;11(19).
    PMID: 36235479 DOI: 10.3390/plants11192614
    In higher plants, the complexity of a system and the components within and among species are rapidly dissected by omics technologies. Multi-omics datasets are integrated to infer and enable a comprehensive understanding of the life processes of organisms of interest. Further, growing open-source datasets coupled with the emergence of high-performance computing and development of computational tools for biological sciences have assisted in silico functional prediction of unknown genes, proteins and metabolites, otherwise known as uncharacterized. The systems biology approach includes data collection and filtration, system modelling, experimentation and the establishment of new hypotheses for experimental validation. Informatics technologies add meaningful sense to the output generated by complex bioinformatics algorithms, which are now freely available in a user-friendly graphical user interface. These resources accentuate gene function prediction at a relatively minimal cost and effort. Herein, we present a comprehensive view of relevant approaches available for system-level gene function prediction in the plant kingdom. Together, the most recent applications and sought-after principles for gene mining are discussed to benefit the plant research community. A realistic tabulation of plant genomic resources is included for a less laborious and accurate candidate gene discovery in basic plant research and improvement strategies.
  16. Fulltext Dataset of taxonomic identification from surface water in the coastal area of Peninsular Malaysia
    Khairul Anuar AN, Muhammad Zamri NK, Mohd Yuzaidey MA, Su Nyun Pau S, Mustaffa NIH
    Data Brief, 2024 Aug;55:110683.
    PMID: 39071957 DOI: 10.1016/j.dib.2024.110683
    This article describes the abundance of phytoplankton community structures in Port Dickson, Negeri Sembilan and Pulau Tinggi, Johor during the Southwest and Northeast Monsoons and includes data from 48 selected sampling sites collected between July and December 2023. The seawater samples from 1-meter depth were obtained by using a Niskin water sampler, concentrated in a 50 ml centrifuge tube and immediately preserved with Lugol's iodine solution. The data include phytoplankton density (cell L-1), the total density of phytoplankton in each station, and the total number of genera obtained in every station. Additional data are presented, including chlorophyll-a concentration, as a proxy for biomass and photosynthetic active radiation. This article presents data on 30 genera, including unidentified genera, as well as the percentage of the main community group.
  17. Fulltext Dataset of metazoan identification using 18s rRNA eDNA metabarcoding from seawater at Hybrid-Ocean Thermal Energy Conversion (H-OTEC) site of Peninsular Malaysia
    Eziwar Dyari HR, Muhammad Rasib MA, Abu Bakar J, Suriyanti SNP
    Data Brief, 2025 Apr;59:111401.
    PMID: 40124284 DOI: 10.1016/j.dib.2025.111401
    Environmental DNA (eDNA) is a very useful method for studying the biodiversity as it obtains genetic materials from environmental samples such as soil, water and air. This highly sensitive detection could attain information despite the scarcity of population densities. This non-invasive approach is feasible particularly in impact assessment of marine development. Hybrid Ocean Thermal Energy Conversion (H-OTEC) is a renewable energy technology that generates electricity by using sea water temperature differentials. While the H-OTEC is currently in its pre-commissioning state, it is crucial to provide a baseline data on the marine biota in this site. This study targets the 18s rRNA genes of the marine metazoans at the H-OTEC plant site at Port Dickson, Negeri Sembilan, Malaysia. Ten litres of seawater were collected from the site and immediately filtered through a 0.2 µm cellulose membrane filter. The eDNA extraction was carried out using cetyltrimethylammonium bromide (CTAB) protocol and sent for next generation sequencing. High-throughput sequencing using the Illumina platform produced 113,980 filtered reads, corresponding to 73 genera, 64 families, and 6 phyla of marine metazoans in the area under examination. The highest relative abundance belongs to the phylum Arthropoda (85%), family Paracalanidae (45%) and genus Bestiolina (38%). The diversity indices indicate a great deal of biodiversity in the ecosystem.
  18. The Role of Dietary Compounds in the Therapy of Nicotine-Induced Osteoporosis
    Mohamed N, Muhammad N, Shuid AN, Soelaiman IN
    Curr Drug Targets, 2018;19(12):1424-1430.
    PMID: 28950810 DOI: 10.2174/1389450118666170925154428
    Nicotine is one of the most abused substances worldwide and can cause several harmful effects on health. One of the harmful effects, which is often ignored, is osteoporosis. Smoking has been shown to cause a decrease in bone mineral density in humans. Animal studies have proven that nicotine exerts negative effects on bone. The number of people who smoke increases each day. Those who smoke start at a very young age and they usually smoke for years. This will increase the risk of developing osteoporosis. As the prevalence of osteoporosis increases, the risk of fractures also increases. The major concerns are disability following fractures, mortality due to complications after fractures and the increasing cost of management and therapy. This paper will review the effects of nicotine on bone and the potential natural products which can be used as treatment for nicotine-induced osteoporosis.
  19. Fulltext Metastasis within a metastasis to the thyroid: A rare phenomenon
    Wong YP, Affandi KA, Tan GC, Muhammad R
    Indian J Pathol Microbiol, 2017 9 25;60(3):430-432.
    PMID: 28937391 DOI: 10.4103/IJPM.IJPM_287_16
    Metastatic disease involving the thyroid gland is uncommon. Solitary thyroid metastases from various primary sites particularly kidney, lung, and breast had been previously described. To the best of our knowledge, metastases from two topographically separate primary malignancies to the thyroid have never been documented hitherto. This is the first reported case of cancer-to-cancer metastasis involving an invasive breast carcinoma metastasized within a metastatic renal cell carcinoma in the nonneoplastic thyroid in a 58-year-old woman. Distinguishing a secondary thyroid metastases from a primary thyroid malignancy is utmost crucial as treatment differs. The possibility of tumor metastases from two separated primaries should always be considered in a tumor exhibiting malignant cell populations with two distinctive histomorphological appearances. The role of immunohistochemistry stains in equivocal cases cannot be overemphasized.
  20. Fulltext Suppression of Cisplatin-Induced Vomiting byCannabis sativain Pigeons: Neurochemical Evidences
    Ullah I, Subhan F, Alam J, Shahid M, Ayaz M
    Front Pharmacol, 2018;9:231.
    PMID: 29615907 DOI: 10.3389/fphar.2018.00231
    Cannabis sativa
    (CS, familyCannabinaceae) has been reported for its anti-emetic activity against cancer chemotherapy-induced emesis in animal models and in clinics. The current study was designed to investigateCSfor potential effectiveness to attenuate cisplatin-induced vomiting in healthy pigeons and to study the impact on neurotransmitters involved centrally and peripherally in the act of vomiting. High-performance liquid chromatography system coupled with electrochemical detector was used for the quantification of neurotransmitters 5-hydroxytryptamine (5HT), dopamine (DA) and their metabolites; Di-hydroxy Phenyl Acetic acid (Dopac), Homovanillic acid (HVA), and 5-hydroxy indole acetic acid (5HIAA) centrally in specific brain areas (area postrema and brain stem) while, peripherally in small intestine. Cisplatin (7 mg/kg i.v.) induce emesis without lethality across the 24 h observation period.CShexane fraction (CS-HexFr; 10 mg/kg) attenuated cisplatin-induced emesis ∼ 65.85% (P< 0.05); the reference anti-emetic drug, metoclopramide (MCP; 30 mg/kg), produced ∼43.90% reduction (P< 0.05). At acute time point (3rdh), CS-HexFr decreased (P< 0.001) the concentration of 5HT and 5HIAA in the area postrema, brain stem and intestine, while at 18thh (delayed time point) CS-HexFr attenuated (P< 0.001) the upsurge of 5HT caused by cisplatin in the brain stem and intestine and dopamine in the area postrema.CS-HexFr treatment alone did not alter the basal neurotransmitters and their metabolites in the brain areas and intestine except 5HIAA and HVA, which were decreased significantly. In conclusion the anti-emetic effect ofCS-HexFr is mediated by anti-serotonergic and anti-dopaminergic components in a blended manner at the two different time points, i.e., 3rdand 18thh in pigeons.
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