Displaying publications 1 - 20 of 23 in total

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  1. Mohtarrudin N, Ghazali R, Md Roduan MR
    Malays J Pathol, 2018 Dec;40(3):313-318.
    PMID: 30580362
    INTRODUCTION: Cyclooxygenase-2 (COX-2) promotes carcinogenesis by inducing proliferation and angiogenesis while decreasing apoptosis and immunosuppressive activity. It is overexpressed in many malignancies including renal cell carcinoma (RCC). The aim of this study was to investigate COX-2 expression in clear cell RCC and its association with tumour grades and demographic parameters.

    MATERIALS AND METHODS: Thirty-six clear cell RCC cases were selected. There were 21 (58.3%) men and 15 (41.7%) women with median age of 56.6 years (range: 16-74 years). Chinese constituted 16 (44.4%) of the cases; Malays 14 (38.9%) cases and Indian 6 (16.7%) cases. There were 6 (16.7%) grade 1, 20 (55.6%) grade 2, 10 (27.8%) grade 3 and none was grade 4. The paraffin embedded tissues were cut at 4 μm thick and stained with COX-2 monoclonal antibody.

    RESULTS: Eighteen (50%) of the RCC cases were immunopositive, of which all showed strong positivity. The immunopositive cases showed cytoplasmic membrane positivity.

    CONCLUSION: There was no significant association between COX-2 expression with grade, age, sex and ethnicity (p=0.457, p=0.054, p=0.389 and p=0.568 respectively). Strong positivity of COX-2 suggest that COX-2 may play a role in cell proliferation and in carcinogenesis.

  2. Al-Jumeily D, Ghazali R, Hussain A
    PLoS One, 2014;9(8):e105766.
    PMID: 25157950 DOI: 10.1371/journal.pone.0105766
    Forecasting naturally occurring phenomena is a common problem in many domains of science, and this has been addressed and investigated by many scientists. The importance of time series prediction stems from the fact that it has wide range of applications, including control systems, engineering processes, environmental systems and economics. From the knowledge of some aspects of the previous behaviour of the system, the aim of the prediction process is to determine or predict its future behaviour. In this paper, we consider a novel application of a higher order polynomial neural network architecture called Dynamic Ridge Polynomial Neural Network that combines the properties of higher order and recurrent neural networks for the prediction of physical time series. In this study, four types of signals have been used, which are; The Lorenz attractor, mean value of the AE index, sunspot number, and heat wave temperature. The simulation results showed good improvements in terms of the signal to noise ratio in comparison to a number of higher order and feedforward neural networks in comparison to the benchmarked techniques.
  3. Uddin J, Ghazali R, Deris MM
    PLoS One, 2017;12(1):e0164803.
    PMID: 28068344 DOI: 10.1371/journal.pone.0164803
    Clustering a set of objects into homogeneous groups is a fundamental operation in data mining. Recently, many attentions have been put on categorical data clustering, where data objects are made up of non-numerical attributes. For categorical data clustering the rough set based approaches such as Maximum Dependency Attribute (MDA) and Maximum Significance Attribute (MSA) has outperformed their predecessor approaches like Bi-Clustering (BC), Total Roughness (TR) and Min-Min Roughness(MMR). This paper presents the limitations and issues of MDA and MSA techniques on special type of data sets where both techniques fails to select or faces difficulty in selecting their best clustering attribute. Therefore, this analysis motivates the need to come up with better and more generalize rough set theory approach that can cope the issues with MDA and MSA. Hence, an alternative technique named Maximum Indiscernible Attribute (MIA) for clustering categorical data using rough set indiscernible relations is proposed. The novelty of the proposed approach is that, unlike other rough set theory techniques, it uses the domain knowledge of the data set. It is based on the concept of indiscernibility relation combined with a number of clusters. To show the significance of proposed approach, the effect of number of clusters on rough accuracy, purity and entropy are described in the form of propositions. Moreover, ten different data sets from previously utilized research cases and UCI repository are used for experiments. The results produced in tabular and graphical forms shows that the proposed MIA technique provides better performance in selecting the clustering attribute in terms of purity, entropy, iterations, time, accuracy and rough accuracy.
  4. Tham JH, Looi LM, Ghazali R
    Malays J Pathol, 2022 Dec;44(3):469-475.
    PMID: 36591714
    INTRODUCTION: Patients who are suspected of having prostate cancer from screening tests require a tissue biopsy to confirm the presence of cancer. This study aims to compare the cost and cancer detection rate of two different biopsy protocols: 6-core transrectal (TR) approach, and transperineal (TP) saturation biopsy.

    METHODS: In this descriptive, retrospective study, we selected all prostate biopsies received by the diagnostic pathology department of a tertiary hospital in Malaysia in the year 2020, from adult patients for analysis. Data on demographics, specimen preparation processes, and final histopathological diagnosis was extracted from the Laboratory Information System (LIS). The cost incurred for each biopsy diagnosed as cancer was calculated with the cost prices referenced from laboratory documentation. Statistical analysis was performed using SPSS, version 28.

    RESULTS: The total cost for detection of cancer using TR biopsy ranged from RM11.22 - RM271.02 with mean of RM47.53. The standard deviation, s is RM43.45. For TP biopsies, the total cost ranged from RM112.20 - RM349.56 with mean of RM160.85, standard deviation of RM80.37. TR biopsies had a detection rate of 43.2%, while TP biopsies had a 24.2% cancer detection rate. There is a 3.38-fold increase in costs between TR and TP biopsy.

    CONCLUSION: The results show a 3.38-fold increase in costs and a reduction in cancer detection rate when comparing TR and TP biopsy. The reason for the reduced detection rate is unascertained in this study.

  5. Waheeb W, Ghazali R, Herawan T
    PLoS One, 2016;11(12):e0167248.
    PMID: 27959927 DOI: 10.1371/journal.pone.0167248
    Time series forecasting has gained much attention due to its many practical applications. Higher-order neural network with recurrent feedback is a powerful technique that has been used successfully for time series forecasting. It maintains fast learning and the ability to learn the dynamics of the time series over time. Network output feedback is the most common recurrent feedback for many recurrent neural network models. However, not much attention has been paid to the use of network error feedback instead of network output feedback. In this study, we propose a novel model, called Ridge Polynomial Neural Network with Error Feedback (RPNN-EF) that incorporates higher order terms, recurrence and error feedback. To evaluate the performance of RPNN-EF, we used four univariate time series with different forecasting horizons, namely star brightness, monthly smoothed sunspot numbers, daily Euro/Dollar exchange rate, and Mackey-Glass time-delay differential equation. We compared the forecasting performance of RPNN-EF with the ordinary Ridge Polynomial Neural Network (RPNN) and the Dynamic Ridge Polynomial Neural Network (DRPNN). Simulation results showed an average 23.34% improvement in Root Mean Square Error (RMSE) with respect to RPNN and an average 10.74% improvement with respect to DRPNN. That means that using network errors during training helps enhance the overall forecasting performance for the network.
  6. Hassan Y, Al-Ramahi RJ, Aziz NA, Ghazali R
    Int J Clin Pharmacol Ther, 2010 Sep;48(9):571-6.
    PMID: 20860910
    BACKGROUND AND OBJECTIVE: Adverse drug events (ADEs) are a common cause of hospitalization and in-hospital complications. The aim of this study was to determine the rates, types, severity and preventability of pre-admission and in-hospital ADEs in patients with chronic kidney disease (CKD).

    METHODS: This study was conducted at the nephrology unit at Penang General Hospital. A random sample of 300 adult patients with CKD was included. Medical records and charts were reviewed by a clinical pharmacist every work day to find any evidence of errors or complications related to drug use. If a suspected ADE was found, further investigations were carried out to assess the causality, severity and preventability of the event.

    RESULTS: A total of 159 ADEs were reported in 122 (40.7%) of the patients. We found 86 suspected pre-admission ADEs in 68 (22.7%) of the patients. These were either the cause of admission for some patients or discovered by the initial physical examination and laboratory investigations. During hospitalization, 64 (21.3%) patients had 73 suspected ADEs. Out of the total 159 suspected ADEs, it was highly probable that 31 events were due to medication, while 61 were of lower probability, and 67 were merely possible. A total of 48 (30.2%) events was considered preventable. 46 events (28.9%) were serious, 93 (58.5%) were less serious and 20 (12.6%) were insignificant. The medication classes most frequently involved in ADEs were diuretics, antibacterials, drugs used for diabetes mellitus, antithrombotic agents, mineral supplements and antihypertensive drugs.

    CONCLUSION: ADEs are very common in hospitalized CKD patients, and some of these events are preventable. The service of a clinical pharmacist may help to reduce ADEs.

  7. Hassan Y, Al-Ramahi R, Abd Aziz N, Ghazali R
    Ann Acad Med Singap, 2009 Dec;38(12):1095-103.
    PMID: 20052447
    One of the most important drug-related problems in patients with chronic kidney disease (CKD) is medication dosing errors. Many medications and their metabolites are eliminated through the kidney. Thus, adequate renal function is important to avoid toxicity. Patients with renal impairment often have alterations in their pharmacokinetic and pharmacodynamic parameters. The clearance of drugs eliminated primarily by renal filtration is decreased by renal disease. Therefore, special consideration should be taken when these drugs are prescribed to patients with impaired renal function. Despite the importance of dosage adjustment in patients with CKD, such adjustments are sometimes ignored. Physicians and pharmacists can work together to accomplish safe drug prescribing. This task can be complex and require a stepwise approach to ensure effectiveness, minimise further damage and prevent drug nephrotoxicity.
  8. Hassan Y, Al-Ramahi RJ, Aziz NA, Ghazali R
    Ann Pharmacother, 2009 Oct;43(10):1598-605.
    PMID: 19776297 DOI: 10.1345/aph.1M187
    Appropriate drug selection and dosing for patients with chronic kidney disease (CKD) is important to avoid unwanted drug effects and ensure optimal patient outcomes.
  9. Ping CC, Hassan Y, Aziz NA, Ghazali R, Awaisu A
    J Clin Pharm Ther, 2007 Feb;32(1):101-7.
    PMID: 17286794
    To report a case of early-decompensated liver cirrhosis secondary to discontinuation of penicillamine therapy in a patient with Wilson's disease.
  10. Yun LS, Hassan Y, Aziz NA, Awaisu A, Ghazali R
    Patient Educ Couns, 2007 Dec;69(1-3):47-54.
    PMID: 17720351 DOI: 10.1016/j.pec.2007.06.017
    Objective: The primary objective of this study was to assess and compare the knowledge of diabetes mellitus possessed by patients with diabetes and healthy adult volunteers in Penang, Malaysia.
    Method: A cross-sectional study was conducted from 20 February 2006 to 31 March 2006. We randomly selected 120 patients with diabetes mellitus from a diabetic clinic at the General Hospital Penang, Malaysia and 120 healthy adults at a shopping complex in Penang. Each participant was interviewed face-to-face by a pharmacist using a validated questionnaire, and they were required to answer a total of 30 questions concerning knowledge about diabetes mellitus using Yes, No or Unsure as the only response.
    Results: The results showed that patients with diabetes mellitus were significantly more knowledgeable than the healthy volunteers about risk factors, symptoms, chronic complications, treatment and self-management, and monitoring parameters. Educational level was the best predictive factor for diabetes mellitus and public awareness.
    Conclusion: Knowledge about diabetes mellitus should be improved among the general population.
    Practice implications: This study has major implications for the design of an educational programme for diabetics and a health promotion programme as a primary prevention measure for the healthy population in general, and especially for those at high risk. The results could be useful in the design of future studies for evaluating patients' and the general public's knowledge about diabetes mellitus.
  11. Ramli NAS, Mohd Noor MA, Musa H, Ghazali R
    J Sci Food Agric, 2018 Jul;98(9):3351-3362.
    PMID: 29250790 DOI: 10.1002/jsfa.8839
    BACKGROUND: Palm oil is one of the major oils and fats produced and traded worldwide. The value of palm oil products is mainly influenced by their quality. According to ISO 17025:2005, accredited laboratories require a quality control procedure with respect to monitoring the validity of tests for determination of quality parameters. This includes the regular use of internal quality control using secondary reference materials. Unfortunately, palm oil reference materials are not currently available. To establish internal quality control samples, the stability of quality parameters needs to be evaluated.

    RESULTS: In the present study, the stability of quality parameters for palm oil products was examined over 10 months at low temperature storage (6 ± 2 °C). The palm oil products tested included crude palm oil (CPO); refined, bleached and deodorized (RBD) palm oil (RBDPO); RBD palm olein (RBDPOo); and RBD palm stearin (RBDPS). The quality parameters of the oils [i.e. moisture content, free fatty acid content (FFA), iodine value (IV), fatty acids composition (FAC) and slip melting point (SMP)] were determined prior to and throughout the storage period. The moisture, FFA, IV, FAC and SMP for palm oil products changed significantly (P  0.05). The stability study indicated that the quality of the palm oil products was stable within the specified limits throughout the storage period at low temperature.

    CONCLUSION: The storage conditions preserved the quality of palm oil products throughout the storage period. These findings qualify the use of the palm oil products CPO, RBDPO, RBDPOo and RBDPS as control samples in the validation of test results. © 2017 Society of Chemical Industry.

  12. Rehman MZ, Khan A, Ghazali R, Aamir M, Nawi NM
    PLoS One, 2021;16(8):e0255269.
    PMID: 34358237 DOI: 10.1371/journal.pone.0255269
    The Sine-Cosine algorithm (SCA) is a population-based metaheuristic algorithm utilizing sine and cosine functions to perform search. To enable the search process, SCA incorporates several search parameters. But sometimes, these parameters make the search in SCA vulnerable to local minima/maxima. To overcome this problem, a new Multi Sine-Cosine algorithm (MSCA) is proposed in this paper. MSCA utilizes multiple swarm clusters to diversify & intensify the search in-order to avoid the local minima/maxima problem. Secondly, during update MSCA also checks for better search clusters that offer convergence to global minima effectively. To assess its performance, we tested the MSCA on unimodal, multimodal and composite benchmark functions taken from the literature. Experimental results reveal that the MSCA is statistically superior with regards to convergence as compared to recent state-of-the-art metaheuristic algorithms, including the original SCA.
  13. Vui-Kee K, Mohd Dali AZ, Mohamed Rose I, Ghazali R, Jamal R, Mokhtar NM
    Kaohsiung J. Med. Sci., 2012 May;28(5):243-50.
    PMID: 22531302 DOI: 10.1016/j.kjms.2011.11.007
    Nonepithelial ovarian cancer (NEOC) is a rare cancer that is often misdiagnosed as other malignant tumors. Research on this cancer using fresh tissues is nearly impossible because of its limited number of samples within a limited time provided. The study is to identify potential genes and their molecular pathways related to NEOC using formalin-fixed paraffin embedded samples. Total RNA was extracted from eight archived NEOCs and seven normal ovaries. The RNA samples with RNA integrity number >2.0, purity >1.7 and cycle count value <28 cycles were hybridized to the Illumina Whole-Genome DASL assay (cDNA-mediated annealing, selection, extension, and ligation). We analyzed the results using the GeneSpring GX11.0 and FlexArray software to determine the differentially expressed genes. Microarray results were validated using an immunohistochemistry method. Statistical analysis identified 804 differentially expressed genes with 443 and 361 genes as overexpressed and underexpressed in cancer, respectively. Consistent findings were documented for the overexpression of eukaryotic translation elongation factor 1 alpha 1, E2F transcription factor 2, and fibroblast growth factor receptor 3, except for the down-regulated gene, early growth response 1 (EGR1). The immunopositivity staining for EGR1 was found in the majority of cancer tissues. This finding suggested that the mRNA level of a transcript did not always match with the protein expression in tissues. The current gene profile can be the platform for further exploration of the molecular mechanism of NEOC.
  14. Mavani HAK, Tew IM, Wong L, Yew HZ, Mahyuddin A, Ahmad Ghazali R, et al.
    PMID: 32679828 DOI: 10.3390/ijerph17145107
    Sodium hypochlorite (NaOCl), an effective endodontic irrigant against Enterococcus faecalis (EF), is harmful to periapical tissues. Natural pineapple-orange eco-enzymes (M-EE) and papaya eco-enzyme (P-EE) could be potential alternatives. This study aimed to assess the antimicrobial efficacy of M-EE and P-EE at different concentrations and fermentation periods against EF, compared to 2.5% NaOCl. Fermented M-EE and P-EE (3 and 6 months) at various concentrations were mixed with EF in a 96-well plate incubated for 24 h anaerobically. Minimum inhibitory concentration (MIC) and minimum bactericidal concentration (MBC) of M-EE and P-EE were determined via EF growth observation. EF inhibition was quantitatively measured and compared between different irrigants using the one-way analysis of variance (ANOVA), and different fermentation periods using the independent-samples T-test. M-EE and P-EE showed MIC at 50% and MBC at 100% concentrations. There was no significant difference in antimicrobial effect when comparing M-EE and P-EE at 50% and 100% to 2.5% NaOCl. P-EE at 6 months fermentation exhibited higher EF inhibition compared to 3 months at concentrations of 25% (p = 0.017) and 0.78% (p = 0.009). The antimicrobial properties of M-EE and P-EE, at both 100% and 50% concentrations, are comparable to 2.5% NaOCl. They could therefore be potential alternative endodontic irrigants, but further studies are required.
  15. Shaari AL, Che Sa SN, Surif M, Zolkarnain N, Ghazali R
    Trop Life Sci Res, 2021 Jun;32(2):133-146.
    PMID: 34367519 DOI: 10.21315/tlsr2021.32.2.9
    Leachate from landfill contains concentrated nutrients that may enter the terrestrial and aquatic environment, including nearby coastal areas. The nutrient contaminants eventually bring harm to marine organisms, including microalgae. This study was performed to investigate the growth of two green microalgal species, i.e. Chlorella sp. and Nannochloropsis sp. in diluted landfill leachate. Besides, the ability of nutrient removal by these microalgal was also explored from the changes of chemical oxygen demand (COD) and nutrients content. The initial and final concentrations of COD, NH3-N, and PO4 3- in the diluted leachate (5%, 10% and 15%) were measured and the growth patterns of these species were determined by counting the cell numbers for 12 days. Comparison of these microalgae showed that the growth rate of Nannochloropsis was significantly higher compared to Chlorella in all leachate concentrations. Leachate at 5% enhanced the growth of both microalgae, while leachates at 10% and 15% decreased their growth as early as at the beginning of the test. It is apparent that the less concentrated leachate discharged into seawater would not pose any toxicity to the environment and would not bear adverse effect to microalgae yet could promote their growth. This study also revealed that the microalgae could remediate leachate pollution by its ability of nutrient removal; thus, leading to the potential application in wastewater bioremediation, including industrial waste and palm oil mill effluent.
  16. Zulqarnain M, Khalaf Zager Alsaedi A, Ghazali R, Ghouse MG, Sharif W, Aida Husaini N
    PeerJ Comput Sci, 2021;7:e570.
    PMID: 34435091 DOI: 10.7717/peerj-cs.570
    Question classification is one of the essential tasks for automatic question answering implementation in natural language processing (NLP). Recently, there have been several text-mining issues such as text classification, document categorization, web mining, sentiment analysis, and spam filtering that have been successfully achieved by deep learning approaches. In this study, we illustrated and investigated our work on certain deep learning approaches for question classification tasks in an extremely inflected Turkish language. In this study, we trained and tested the deep learning architectures on the questions dataset in Turkish. In addition to this, we used three main deep learning approaches (Gated Recurrent Unit (GRU), Long Short-Term Memory (LSTM), Convolutional Neural Networks (CNN)) and we also applied two different deep learning combinations of CNN-GRU and CNN-LSTM architectures. Furthermore, we applied the Word2vec technique with both skip-gram and CBOW methods for word embedding with various vector sizes on a large corpus composed of user questions. By comparing analysis, we conducted an experiment on deep learning architectures based on test and 10-cross fold validation accuracy. Experiment results were obtained to illustrate the effectiveness of various Word2vec techniques that have a considerable impact on the accuracy rate using different deep learning approaches. We attained an accuracy of 93.7% by using these techniques on the question dataset.
  17. Burhan N, Kasno M', Ghazali R, Said MR, Abdullah SS, Jali MH
    J Healthc Eng, 2017;2017:1631384.
    PMID: 29138687 DOI: 10.1155/2017/1631384
    Biceps brachii muscle illness is one of the common physical disabilities that requires rehabilitation exercises in order to build up the strength of the muscle after surgery. It is also important to monitor the condition of the muscle during the rehabilitation exercise through electromyography (EMG) signals. The purpose of this study was to analyse and investigate the selection of the best mother wavelet (MWT) function and depth of the decomposition level in the wavelet denoising EMG signals through the discrete wavelet transform (DWT) method at each decomposition level. In this experimental work, six healthy subjects comprised of males and females (26 ± 3.0 years and BMI of 22 ± 2.0) were selected as a reference for persons with the illness. The experiment was conducted for three sets of resistance band loads, namely, 5 kg, 9 kg, and 16 kg, as a force during the biceps brachii muscle contraction. Each subject was required to perform three levels of the arm angle positions (30°, 90°, and 150°) for each set of resistance band load. The experimental results showed that the Daubechies5 (db5) was the most appropriate DWT method together with a 6-level decomposition with a soft heursure threshold for the biceps brachii EMG signal analysis.
  18. Walsh RP, Bidin K, Blake WH, Chappell NA, Clarke MA, Douglas I, et al.
    Philos Trans R Soc Lond B Biol Sci, 2011 Nov 27;366(1582):3340-53.
    PMID: 22006973 DOI: 10.1098/rstb.2011.0054
    Long-term (21-30 years) erosional responses of rainforest terrain in the Upper Segama catchment, Sabah, to selective logging are assessed at slope, small and large catchment scales. In the 0.44 km(2) Baru catchment, slope erosion measurements over 1990-2010 and sediment fingerprinting indicate that sediment sources 21 years after logging in 1989 are mainly road-linked, including fresh landslips and gullying of scars and toe deposits of 1994-1996 landslides. Analysis and modelling of 5-15 min stream-suspended sediment and discharge data demonstrate a reduction in storm-sediment response between 1996 and 2009, but not yet to pre-logging levels. An unmixing model using bed-sediment geochemical data indicates that 49 per cent of the 216 t km(-2) a(-1) 2009 sediment yield comes from 10 per cent of its area affected by road-linked landslides. Fallout (210)Pb and (137)Cs values from a lateral bench core indicate that sedimentation rates in the 721 km(2) Upper Segama catchment less than doubled with initially highly selective, low-slope logging in the 1980s, but rose 7-13 times when steep terrain was logged in 1992-1993 and 1999-2000. The need to keep steeplands under forest is emphasized if landsliding associated with current and predicted rises in extreme rainstorm magnitude-frequency is to be reduced in scale.
  19. Chang CT, Shunmugam P, Abdul Aziz NA, Abdul Razak NS, Johari N, Mohamad N, et al.
    J Paediatr Child Health, 2020 Mar;56(3):426-431.
    PMID: 31654469 DOI: 10.1111/jpc.14646
    AIM: Bed sharing is defined as a newborn sleeping in the same bed with an adult. Bed sharing may put the newborn at risk of suffocation due to accidental smothering.

    METHODS: This was a quasi-experimental study conducted in a tertiary referral hospital. Healthy post-delivery Malaysian mothers were randomly selected and enrolled into the control or the intervention group. On the day of discharge, mothers in the intervention group were interviewed face-to-face in the post-natal ward on their plans for sleeping arrangement with their newborn. After the interview, mothers were advised not to bed share with their newborn and were given an educational leaflet on safe sleeping practices. One week after discharge, mothers in both groups were interviewed over the telephone regarding their actual sleeping arrangements with their newborn using the same questionnaire. Logistic regression was performed to determine factors associated with reduced bed sharing.

    RESULTS: A total of 94 mothers and 95 mothers were recruited to the control and intervention group, respectively. The baseline bed-sharing prevalence was similar between groups: 60.6% in the control group and 61.1% in the interventional group. The proportion of mothers who bed shared with their newborn reduced from 61.1 to 37.9% after the intervention (P 

  20. Chew BS, Ghazali R, Othman H, Ismail NAM, Othman AS, Laim NMST, et al.
    J Obstet Gynaecol Res, 2018 Oct 10.
    PMID: 30306675 DOI: 10.1111/jog.13836
    AIM: The aim of our study was to determine the endocan-1 expression in placenta of hypertensive women, and its association with maternal and fetal outcomes.

    METHODS: This was a cross-sectional study consisted of 21 pregnant women with hypertension and 23 without hypertension. The gestational age ranged from 28 to 39 weeks (hypertensive) and 32 to 40 weeks (normotensive). The paraffin embedded formalin fixed placenta tissue blocks were retrieved from the pathology archives. Endocan immunohistochemistry was performed on tissue sections of full thickness and maternal surface of the placenta. The endocan expression was determined in fetal endothelial cells, maternal endothelial cells, cytotrophoblasts, syncytiotrophoblasts and decidual cells. The differences in endocan expression in placenta between hypertensive and normotensive subjects were evaluated by Pearson chi-square test and t-test were used in the statistical analysis.

    RESULTS: The endocan expression was significantly higher in fetal endothelial cells (P

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