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Comparative study between Pap smear cytology and FTIR spectroscopy: a new tool for screening for cervical cancer

El-Tawil SG, Adnan R, Muhamed ZN, Othman NH

Pathology, 2008 Oct;40(6):600-3.
PMID: 18752127 DOI: 10.1080/00313020802320622

AIMS: To evaluate Fourier transform infrared (FTIR) spectroscopy as new tool for screening of cervical cancer in comparison with cervical cytology.
METHODS: A total of 800 cervical scrapings were taken by cytobrush and placed in ThinPrep medium. The samples were dried over infrared transparent matrix. Beams of infrared light were directed at the dried samples at frequency of 4000 to 400 cm(-1). The absorption data were produced using a Spectrum BX II FTIR spectrometer. Data were compared with the reference absorption data of known samples using FTIR spectroscopy software. FTIR spectroscopy was compared with cytology (gold standard).
RESULTS: FTIR spectroscopy could differentiate normal from abnormal cervical cells in the samples examined. The sensitivity was 85%, specificity 91%, positive predictive value 19.5% and negative predictive value of 99.5%.
CONCLUSION: This study suggests that FTIR spectroscopy could be used as an alternative method for screening for cervical cancer.
Fulltext Risk factors of gestational diabetes mellitus in the refugee population in Gaza Strip: a case-control study

AlKasseh AS, Zaki NM, Aljeesh YI, Soon LK

East Mediterr Health J, 2014 Jan 09;19 Suppl 3:S12-8.
PMID: 24995734

To determine the risk factors of gestational diabetes mellitus in refugee populations in the Gaza Strip, a retrospective case-control study was performed between March and June 2011 in the United Nations Relief and Works Agency (UNRWA) primary health care clinics. Data were collected on maternal sociodemographics and the prevalence of diagnosed GDM according to World Health Organization criteria from clinics where postnatal Palestinian refugee women had been diagnosed with GDM during previous pregnancies, and non-GDM women were used as controls. Sociodemographic characteristics, pre-pregnancy body-mass index (BMI), obstetrics history and family history of diabetes were used as study variables. In total, 189 incident cases of GDM were identified. The most significant risk factors for GDM were: history of miscarriage more than once; overweight before pregnancy; history of stillbirth; history of caesarean birth; and positive family history of diabetes mellitus.
Fulltext Developmental dysplasia of hip screening using ortolani and barlow testing on breech delivered neonates

Sulaiman A, Yusof Z, Munajat I, Lee N, Zaki N

Malays Orthop J, 2011 Nov;5(3):13-6.
PMID: 25279029 MyJurnal DOI: 10.5704/MOJ.1111.008
Fulltext Older Age Group in Pregnancy is Associated with Increased Arterial Stiffness

Salmi AA, Nor Aliza AG, Nik Zaki NM, Wong AR, Aida HR

Med J Malaysia, 2010 Jun;65(2):115-8.
PMID: 23756794 MyJurnal

Arterial stiffness is an index of vascular health; normal pregnancy is associated with reduced arterial stiffness. This cross sectional study compared arterial stiffness in older (≥35 years) and the younger (≤34 years) age groups of pregnant women. Arterial stiffness was assessed noninvasively in 66 pregnant women between 23 - 32 weeks gestation (41 women ≤ 34 years, 25 women ≥ 35 years) using the parameters pulse wave analysis and pulse wave velocity. Blood pressure (BP), body mass index (BMI), serum total cholesterol (TC) and fasting blood glucose (FBS) were also recorded. Mean ages of the younger and older age groups were 27.6±0.62 and 39.3±0.58 years; no significant difference was seen between the groups in their BMI, TC, FBS, SBP, DBP and gestational age. The older age group of women have increased arterial stiffness (augmentation index 19.4±1.9% vs 13.2±1.6%, p=0.015) and aortic stiffness (pulse wave velocity 8.7±0.3 vs 7.7±0.2 m/s, p=0.004) compared to the younger women. Linear regression analysis showed a positive significant correlation between age and augmentation index (R=0.278, p=0.026), and pulse wave velocity (R=0.350, p=0.004). We conclude that older pregnant women has increased arterial stiffness compared to a younger age group of pregnant women suggesting that vascular changes due to ageing occurs in pregnancy despite cardiovascular adaptations occurring in pregnancy.
Fulltext Are Malaysian Type 2 Diabetes patients willing to be trained to speak to their offspring about risk of diabetes and preventive measures?

Badlishah-Sham SF, Ramli AS, Isa MR, Mohd-Zaki N, Whitford DL

BMC Fam Pract, 2020 03 11;21(1):50.
PMID: 32160862 DOI: 10.1186/s12875-020-01121-0

BACKGROUND: Offspring of type 2 diabetes patients have an absolute risk of 20-40% of developing the condition. Type 2 diabetes patients should be encouraged to speak to their offspring regarding diabetes risk and prevention strategies. The Health Belief Model conceptualises that the higher the perceived risk, the more likely an individual will modify their behaviour. The objectives of this study were to i) determine the distribution of type 2 diabetes patients regarding their willingness to accept training to speak to their offspring, ii) determine the distribution of type 2 diabetes patients regarding their willingness to accept training based on the HBM and iii) to determine the factors associated with their willingness to accept training.

METHODS: This was a cross-sectional study amongst type 2 diabetes patients attending two primary care clinics in Malaysia. Sociodemographic data and knowledge of diabetes risk factors were collected. The adapted, translated and validated Diabetes Mellitus in the Offspring Questionnaire-Malay version (DMOQ-Malay) was self-administered. Statistical analysis included descriptive statistics, univariate and multiple logistic regression (MLogR).

RESULTS: A total of 425 participants were recruited. Of these, 61.6% were willing to accept training. In MLogR, six variables were found to be significantly associated with willingness to accept training. These were i) positive family history [Adj. OR 2.06 (95% CI: 1.27, 3.35)], ii) having the correct knowledge that being overweight is a risk factor [Adj. OR 1.49 (95%CI: 1.01, 2.29)], iii) correctly identifying age ≥ 40 years old as a risk factor [Adj. OR 1.88 (95%CI: 1.22, 2.90)], iv) agreeing that speaking to their offspring would help them to prevent type 2 diabetes [Adj. OR 4.34 (95%: 1.07, 17.73)], v) being neutral with the statement 'I do not have much contact with my offspring' [Adj. OR: 0.31 (95% CI: 0.12, 0.810] and vi) being neutral with the statement 'my offspring are not open to advice from me' [Adj. OR: 0.63 (95% CI: 0.31, 0.84].

CONCLUSION: The majority of type 2 diabetes patients were willing to accept training to speak to their offspring to prevent diabetes. A training module should be designed to enhance their knowledge, attitude and skills to become family health educators.
Identification of informative genes and pathways using an improved penalized support vector machine with a weighting scheme

Chan WH, Mohamad MS, Deris S, Zaki N, Kasim S, Omatu S, et al.

Comput Biol Med, 2016 10 01;77:102-15.
PMID: 27522238 DOI: 10.1016/j.compbiomed.2016.08.004

Incorporation of pathway knowledge into microarray analysis has brought better biological interpretation of the analysis outcome. However, most pathway data are manually curated without specific biological context. Non-informative genes could be included when the pathway data is used for analysis of context specific data like cancer microarray data. Therefore, efficient identification of informative genes is inevitable. Embedded methods like penalized classifiers have been used for microarray analysis due to their embedded gene selection. This paper proposes an improved penalized support vector machine with absolute t-test weighting scheme to identify informative genes and pathways. Experiments are done on four microarray data sets. The results are compared with previous methods using 10-fold cross validation in terms of accuracy, sensitivity, specificity and F-score. Our method shows consistent improvement over the previous methods and biological validation has been done to elucidate the relation of the selected genes and pathway with the phenotype under study.
Fulltext Coping with Anxiety During the COVID-19 Pandemic: A Case Study of Academics in the Muslim World

Achour M, Souici D, Bensaid B, Binti Ahmad Zaki N, Alnahari AAA

J Relig Health, 2021 Dec;60(6):4579-4599.
PMID: 34514548 DOI: 10.1007/s10943-021-01422-3

The COVID-19 pandemic has been a global phenomenon defined by uncertainty, fear and grief which has resulted in record high levels of stress and anxiety in the first half of 2020. It also led to an increased interest in the study of the role of belief, religion, and spirituality as responses to coping with and responding to the pandemic throughout different societal domains. This study explores the impact of anxiety and stress caused by the pandemic on Muslim academics' subjective well-being. It also explores correlations between coping and spirituality by assessing Muslim academics' coping strategies in overcoming stress and anxiety. To this end, this study sampled 480 Muslim academics ages 25-60 years residing in Muslim countries. The findings show a negative yet significant correlation between anxiety and well-being while also showing a positive and significant correlation between coping strategies and subjective well-being. The research also points to the role of coping strategies in reducing anxiety and stress, the resulting improvements in well-being for Muslim academics, and the mediating effect of coping strategies between anxiety, stress, and well-being for Muslim academics.
Fulltext Effects of Petroleum-Based Oils as Dispersing Aids on Physicochemical Characteristics of Magnetorheological Elastomers

Muhammad Zaki N, Yunus NA, Yusoff MS, Mazlan SA, Abdul Aziz SA, Izni NA, et al.

Materials (Basel), 2021 Nov 19;14(22).
PMID: 34832425 DOI: 10.3390/ma14227026

This paper investigated the effects of petroleum-based oils (PBOs) as a dispersing aid on the physicochemical characteristics of natural rubber (NR)-based magnetorheological elastomers (MREs). The addition of PBOs was expected to overcome the low performance of magnetorheological (MR) elastomers due to their inhomogeneous dispersion and the mobility of magnetic particles within the elastomer matrix. The NR-based MREs were firstly fabricated by mixing the NR compounds homogeneously with different ratios of naphthenic oil (NO), light mineral oil (LMO), and paraffin oil (PO) to aromatic oil (AO), with weight percentage ratios of 100:0, 70:30, 50:50, and 30:70, respectively. From the obtained results, the ratios of NO mixed with low amounts of AO improved the material physicochemical characteristics, such as thermal properties. Meanwhile, LMO mixed the AO led to the best results for curing characteristics, microstructure observation, and magnetic properties of the MREs. We found that the LMO mixed with a high content of AO could provide good compatibility between the rubber molecular and magnetic particles due to similar chemical structures, which apparently enhance the physicochemical characteristics of MREs. In conclusion, the 30:70 ratio of LMO:AO is considered the preferable dispersing aid for MREs due to structural compounds present in the oil that enhance the physicochemical characteristics of the NR-based MREs.
An improved hybrid of particle swarm optimization and the gravitational search algorithm to produce a kinetic parameter estimation of aspartate biochemical pathways

Ismail AM, Mohamad MS, Abdul Majid H, Abas KH, Deris S, Zaki N, et al.

Biosystems, 2017 Dec;162:81-89.
PMID: 28951204 DOI: 10.1016/j.biosystems.2017.09.013

Mathematical modelling is fundamental to understand the dynamic behavior and regulation of the biochemical metabolisms and pathways that are found in biological systems. Pathways are used to describe complex processes that involve many parameters. It is important to have an accurate and complete set of parameters that describe the characteristics of a given model. However, measuring these parameters is typically difficult and even impossible in some cases. Furthermore, the experimental data are often incomplete and also suffer from experimental noise. These shortcomings make it challenging to identify the best-fit parameters that can represent the actual biological processes involved in biological systems. Computational approaches are required to estimate these parameters. The estimation is converted into multimodal optimization problems that require a global optimization algorithm that can avoid local solutions. These local solutions can lead to a bad fit when calibrating with a model. Although the model itself can potentially match a set of experimental data, a high-performance estimation algorithm is required to improve the quality of the solutions. This paper describes an improved hybrid of particle swarm optimization and the gravitational search algorithm (IPSOGSA) to improve the efficiency of a global optimum (the best set of kinetic parameter values) search. The findings suggest that the proposed algorithm is capable of narrowing down the search space by exploiting the feasible solution areas. Hence, the proposed algorithm is able to achieve a near-optimal set of parameters at a fast convergence speed. The proposed algorithm was tested and evaluated based on two aspartate pathways that were obtained from the BioModels Database. The results show that the proposed algorithm outperformed other standard optimization algorithms in terms of accuracy and near-optimal kinetic parameter estimation. Nevertheless, the proposed algorithm is only expected to work well in small scale systems. In addition, the results of this study can be used to estimate kinetic parameter values in the stage of model selection for different experimental conditions.
The economic burden of schizophrenia in Malaysia

Teoh SL, Chong HY, Abdul Aziz S, Chemi N, Othman AR, Md Zaki N, et al.

Neuropsychiatr Dis Treat, 2017;13:1979-1987.
PMID: 28814869 DOI: 10.2147/NDT.S137140

INTRODUCTION: Schizophrenia (SCZ) is a highly debilitating disease despite its low prevalence. The economic burden associated with SCZ is substantial and mainly attributed to productivity loss. To improve the understanding of economic burden of SCZ in the low- and middle-income country regions, we aimed to determine the economic burden of SCZ in Malaysia.
METHODS: A retrospective study was conducted using a prevalence-based approach from a societal perspective in Malaysia with a 1 year period from 2013. We used micro-costing technique with bottom-up method and included direct medical cost, direct non-medical cost, and indirect cost. The main data source was medical chart review which was conducted in Hospital Kuala Lumpur (HKL). The medical charts were identified electronically by matching the unique patient's identification number registered under the National Mental Health Schizophrenia Registry and the list of patients in HKL in 2013. Other data sources were government documents, literatures, and local websites. To ensure robustness of result, probabilistic sensitivity analysis was conducted.
RESULTS: The total estimated number of treated SCZ cases in Malaysia in 2015 was 15,104 with the total economic burden of USD 100 million (M) which was equivalent to 0.04% of the national gross domestic product. On average, the mean cost per patient was USD 6,594. Of the total economic burden of SCZ, 72% was attributed to indirect cost, costing at USD 72M, followed by direct medical cost (26%), costing at USD 26M, and direct non-medical cost (2%), costing at USD 1.7M.
CONCLUSION: This study highlights the magnitude of economic burden of SCZ and informs the policy-makers that there is an inadequate support for SCZ patients. More resources should be allocated to improve the condition of SCZ patients and to reduce the economic burden.
Corrigendum to: Genetic underpinnings in Alzheimer's disease - a review

Moustafa AA, Hassan M, Hewedi DH, Hewedi I, Garami JK, Al Ashwal H, et al.

Rev Neurosci, 2018 09 25;29(7):815.
PMID: 30179856 DOI: 10.1515/revneuro-2018-0081
Fulltext An update on obesity research pattern among adults in Malaysia: a scoping review

Mohamad Nor NS, Ambak R, Mohd Zaki N, Abdul Aziz NS, Cheong SM, Abd Razak MA, et al.

BMC Womens Health, 2018 07 19;18(Suppl 1):114.
PMID: 30066661 DOI: 10.1186/s12905-018-0590-4

BACKGROUND: Obesity is a global health burden in the non-communicable diseases and much efforts have been implemented in the past decade in response to the rise of obesity prevalence among the Malaysian population. These include the development of the national policies, health programmes and research activities. The main aim of the scoping review was to identify obesity research pattern among adults in Malaysia in terms of the scopes, topics and the research designs.
METHODS: The scoping review was conducted based on the framework by Arksey and O'Malley. The Preferred Reporting Items for Systematic Reviews and Meta Analysis (PRISMA) diagram was used as a guide to record the review process. Articles from year 2008 until 2017 on overweight and obesity among adults aged 18 years and above were retrieved based on the keywords using electronic databases (Embase/Ovid, Pubmed, Cochrane library and Google Scholar). Local journals, Nutrition Research in Malaysia Biblography (2011 and 2016), online local theses databases, virtual library databases were also included in the searches. Consultations with relevant key informants from the National Institutes of Health and local universities were also conducted. Search activities were managed using Endnote software and MS Excelsheet.
RESULTS: The characteristics of the results were described based on the objectives of the review. A total of 2004 articles and reports were retrieved, and 188 articles related to obesity in Malaysia were included in the final review. Scopes and topics of obesity research based on the Nutrition Research Priorities in Malaysia (NRPM) for 11th Malaysia Plan were obesity prevalence, weight loss intervention, association of physical activities and dietary factors with obesity. The majority of obesity research among adults in Malaysia was cross sectional studies and only a small number of intervention studies, qualitative studies and systematic review were indentified. Research gaps were identified in order to make useful recommendations to the stakeholders.
CONCLUSIONS: In the past decade, there has been an emerging evidence on obesity research among adults in Malaysia. More obesity research needs to be conducted particularly on obesity intervention among specific gender, qualitative studies, economic cost and genetic factors of obesity.

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