Displaying publications 1 - 20 of 433 in total

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  1. Khoo LW, Kow ASF, Maulidiani M, Ang MY, Chew WY, Lee MT, et al.
    Phytochem Anal, 2019 Jan;30(1):46-61.
    PMID: 30183131 DOI: 10.1002/pca.2789
    INTRODUCTION: Clinacanthus nutans, a small shrub that is native to Southeast Asia, is commonly used in traditional herbal medicine and as a food source. Its anti-inflammation properties is influenced by the metabolites composition, which can be determined by different binary extraction solvent ratio and extraction methods used during plant post-harvesting stage.

    OBJECTIVE: Evaluate the relationship between the chemical composition of C. nutans and its anti-inflammatory properties using nuclear magnetic resonance (NMR) metabolomics approach.

    METHODOLOGY: The anti-inflammatory effect of C. nutans air-dried leaves extracted using five different binary extraction solvent ratio and two extraction methods was determined based on their nitric oxide (NO) inhibition effect in lipopolysaccharide-interferon-gamma (LPS-IFN-γ) activated RAW 264.7 macrophages. The relationship between extract bioactivity and metabolite profiles and quantifications were established using 1 H-NMR metabolomics and liquid chromatography-tandem mass spectrometry (LC-MS/MS). The possible metabolite biosynthesis pathway was constructed to further strengthen the findings.

    RESULTS: Water and sonication prepared air-dried leaves possessed the highest NO inhibition activity (IC50  = 190.43 ± 12.26 μg/mL, P 

    Matched MeSH terms: Multivariate Analysis
  2. Bujang MA, Kuan PX, Tiong XT, Saperi FE, Ismail M, Mustafa FI, et al.
    J Diabetes Res, 2018;2018:4638327.
    PMID: 30116741 DOI: 10.1155/2018/4638327
    AIMS: This study aims to determine the all-cause mortality and the associated risk factors for all-cause mortality among the prevalent type 2 diabetes mellitus (T2DM) patients within five years' period and to develop a screening tool to determine high-risk patients.

    METHODS: This is a cohort study of T2DM patients in the national diabetes registry, Malaysia. Patients' particulars were derived from the database between 1st January 2009 and 31st December 2009. Their records were matched with the national death record at the end of year 2013 to determine the status after five years. The factors associated with mortality were investigated, and a prognostic model was developed based on logistic regression model.

    RESULTS: There were 69,555 records analyzed. The mortality rate was 1.4 persons per 100 person-years. The major cause of death were diseases of the circulatory system (28.4%), infectious and parasitic diseases (19.7%), and respiratory system (16.0%). The risk factors of mortality within five years were age group (p < 0.001), body mass index category (p < 0.001), duration of diabetes (p < 0.001), retinopathy (p = 0.001), ischaemic heart disease (p < 0.001), cerebrovascular (p = 0.007), nephropathy (p = 0.001), and foot problem (p = 0.001). The sensitivity and specificity of the proposed model was fairly strong with 70.2% and 61.3%, respectively.

    CONCLUSIONS: The elderly and underweight T2DM patients with complications have higher risk for mortality within five years. The model has moderate accuracy; the prognostic model can be used as a screening tool to classify T2DM patients who are at higher risk for mortality within five years.

    Matched MeSH terms: Multivariate Analysis
  3. Ahmad Nasir S, Ramli R, Abd Jabar N
    PLoS One, 2018;13(10):e0204946.
    PMID: 30289909 DOI: 10.1371/journal.pone.0204946
    The aim of this study was to determine the predictors of post-traumatic enophthalmos (PE) in relation to the internal orbital changes following pure orbital blowout fractures. The design was a 10-year retrospective cross-sectional study analysing 629 medical records and computed tomography (CT) data of patients with orbital fractures from January 2008 to January 2017. Demographic, etiology, co-morbidity and clinical characteristics were obtained from the medical records. Assessment of the PE, fracture site and size, intraorbital structures and muscle change were performed using the Digital Imaging and Communications in Medicine (DICOM) viewer software, OsiriX v5.8.2. Of the 629 patients with orbital fractures, 87 were pure orbital blowout fractures. Demographic pattern showed that males outnumbered females in the series, with male: female ratio of 5.7:1. The mean age was 37.2 ± 14.7 and the main etiology was motor vehicle accident. Orbital floor fracture was the most common fracture location (67.8%). The involvement of the posterior ledge and inferior orbital fissure showed statistical significant difference with PE (Fisher's exact test, p = 0.03). Binary logistic regression showed that after controlling for age, patients with fracture size of more than 150 mm2 had three times the odds of sustaining a PE, (adjusted odds ratio (AOR) = 3.01 (95% CI 1.17-7.92). Fracture size larger than 150 mm2 was a radiological predictor of PE. Additional research investigating further on the role of concurrent fracture of the posterior ledge and inferior orbital fissure is advocated.
    Matched MeSH terms: Multivariate Analysis
  4. Md-Sani SS, Md-Noor J, Han WH, Gan SP, Rani NS, Tan HL, et al.
    BMC Infect Dis, 2018 05 21;18(1):232.
    PMID: 29783955 DOI: 10.1186/s12879-018-3141-6
    BACKGROUND: Increasing incidence of dengue cases in Malaysia over the last few years has been paralleled by increased deaths. Mortality prediction models will therefore be useful in clinical management. The aim of this study is to identify factors at diagnosis of severe dengue that predicts mortality and assess predictive models based on these identified factors.

    METHOD: This is a retrospective cohort study of confirmed severe dengue patients that were admitted in 2014 to Hospital Kuala Lumpur. Data on baseline characteristics, clinical parameters, and laboratory findings at diagnosis of severe dengue were collected. The outcome of interest is death among patients diagnosed with severe dengue.

    RESULTS: There were 199 patients with severe dengue included in the study. Multivariate analysis found lethargy, OR 3.84 (95% CI 1.23-12.03); bleeding, OR 8.88 (95% CI 2.91-27.15); pulse rate, OR 1.04 (95% CI 1.01-1.07); serum bicarbonate, OR 0.79 (95% CI 0.70-0.89) and serum lactate OR 1.27 (95% CI 1.09-1.47), to be statistically significant predictors of death. The regression equation to our model with the highest AUROC, 83.5 (95% CI 72.4-94.6), is: Log odds of death amongst severe dengue cases = - 1.021 - 0.220(Serum bicarbonate) + 0.001(ALT) + 0.067(Age) - 0.190(Gender).

    CONCLUSION: This study showed that a large proportion of severe dengue occurred early, whilst patients were still febrile. The best prediction model to predict death at recognition of severe dengue is a model that incorporates serum bicarbonate and ALT levels.

    Matched MeSH terms: Multivariate Analysis
  5. Alzoubi MM, Ks H, Am R, Al-Zoubi KM, Al-Mugheed K, Alsenany SA, et al.
    Medicine (Baltimore), 2023 Oct 06;102(40):e35390.
    PMID: 37800832 DOI: 10.1097/MD.0000000000035390
    BACKGROUND: The purpose of this study is to design, implement, and evaluate the impact of a total quality management intervention on job performance and commitment among Jordanian nurses working in government hospitals.

    METHODS: A quasi-experimental multiple time series was conducted starting in September 2017 and ending in June 2018. 140 nurses were sampled using the proportionate stratified random sampling technique; 132 were completed the study 67 the intervention group, while 65 in the control group.

    RESULTS: There were no significant differences in nurses' job performance or commitment between the 2 groups (control and intervention). A repeated measure MANOVA test for both groups revealed that the interaction between group and time was statistically significant (F (4, 127) = 144.841; P = .001; Wilk's Λ = 0.180; η2 = .820), indicating that groups had a significantly different pattern of job performance and commitment over time. A repeated test The MANCOVA test for both groups across time revealed significant differences in nurses' job performance and nurses' commitment at a less than 0.05 significance level (F (2127) = 320.724; P = .001; Wilk's Λ = 0.165; η2 = 0.835), and the overall effect of time was significant for all dependent variables (F (4125) = 36.879; P = .001; Wilk's Λ = 0.459; η2 = 0.541).

    CONCLUSION: The educational intervention was effective in improving nursing job performance among the study sample. The improved commitment of respondents in the intervention group was attributed to the improvement in job performance.

    Matched MeSH terms: Multivariate Analysis
  6. Ahmad S, Usman Mirza M, Yean Kee L, Nazir M, Abdul Rahman N, Trant JF, et al.
    Chem Biol Drug Des, 2021 Oct;98(4):604-619.
    PMID: 34148292 DOI: 10.1111/cbdd.13914
    3CLpro is essential for SARS-CoV-2 replication and infection; its inhibition using small molecules is a potential therapeutic strategy. In this study, a comprehensive crystallography-guided fragment-based drug discovery approach was employed to design new inhibitors for SARS-CoV-2 3CLpro. All small molecules co-crystallized with SARS-CoV-2 3CLpro with structures deposited in the Protein Data Bank were used as inputs. Fragments sitting in the binding pocket (87) were grouped into eight geographical types. They were interactively coupled using various synthetically reasonable linkers to generate larger molecules with divalent binding modes taking advantage of two different fragments' interactions. In total, 1,251 compounds were proposed, and 7,158 stereoisomers were screened using Glide (standard precision and extra precision), AutoDock Vina, and Prime MMGBSA. The top 22 hits having conformations approaching the linear combination of their constituent fragments were selected for MD simulation on Desmond. MD simulation suggested 15 of these did adopt conformations very close to their constituent pieces with far higher binding affinity than either constituent domain alone. These structures could provide a starting point for the further design of SARS-CoV-2 3CLpro inhibitors with improved binding, and structures are provided.
    Matched MeSH terms: Multivariate Analysis
  7. Soh SC, Abdullah MP
    Environ Monit Assess, 2007 Jan;124(1-3):39-50.
    PMID: 16967208
    A field investigation was conducted at all water treatment plants throughout 11 states and Federal Territory in Peninsular Malaysia. The sampling points in this study include treatment plant operation, service reservoir outlet and auxiliary outlet point at the water pipelines. Analysis was performed by solid phase micro-extraction technique with a 100 microm polydimethylsiloxane fibre using gas chromatography with mass spectrometry detection to analyse 54 volatile organic compounds (VOCs) of different chemical families in drinking water. The concentration of VOCs ranged from undetectable to 230.2 microg/l. Among all of the VOCs species, chloroform has the highest concentration and was detected in all drinking water samples. Average concentrations of total trihalomethanes (THMs) were almost similar among all states which were in the range of 28.4--33.0 microg/l. Apart from THMs, other abundant compounds detected were cis and trans-1,2-dichloroethylene, trichloroethylene, 1,2-dibromoethane, benzene, toluene, ethylbenzene, chlorobenzene, 1,4-dichlorobenzene and 1,2-dichloro - benzene. Principal component analysis (PCA) with the aid of varimax rotation, and parallel factor analysis (PARAFAC) method were used to statistically verify the correlation between VOCs and the source of pollution. The multivariate analysis pointed out that the maintenance of auxiliary pipelines in the distribution systems is vital as it can become significant point source pollution to Malaysian drinking water.
    Matched MeSH terms: Multivariate Analysis
  8. Abdullah JM, Kumaraswamy N, Awang N, Ghazali MM, Abdullah MR
    Asian J Surg, 2005 Jul;28(3):163-7.
    PMID: 16024307
    To use data from a prospective, longitudinal study to determine whether psychomotor functions improve spontaneously during the first year following paediatric traumatic brain injury without modern rehabilitation facilities in a rural area of Malaysia.
    Matched MeSH terms: Multivariate Analysis
  9. Abu Talib R, Idris IB, Sutan R, Ahmad N, Abu Bakar N
    Iran J Public Health, 2018 Nov;47(11):1694-1702.
    PMID: 30581786
    Background: This cross-sectional was aimed to assess the prevalence of pre-pregnancy care services usage and its determinant factors among women of reproductive age in Kedah, Malaysia.

    Methods: Overall, 1347 respondents who attended 24 government health clinics, were chosen using systematic multistage random sampling. A validated self-administered questionnaire which consisted of sections including socio-demographic characteristics, social support, knowledge on pre-pregnancy care, perception on risk of pregnancy, health status, as well as intention and awareness on pre-pregnancy care services were distributed.

    Results: The prevalence of utilization of pre-pregnancy care services was still low i.e. 44.0%. Bivariate and multivariate analysis showed consistent significant level between all factors and pre-pregnancy care usage except for family planning practice. The factors that showed significant difference with the usage of pre-pregnancy care services were age of more than 35 (P<0.001), high education level (P<0.001), non-working mothers (P<0.001), multipara (P=0.001), awareness on the existence of pre-pregnancy care services in government health facilities (P<0.001), intention to use the services (P=0.0030), having medical illness (P=0.005), having social support (P=0.001), high knowledge (P<0.001), and positive perception (P<0.001).

    Conclusion: Low usage of pre-pregnancy care services can be improved through health screening on reproductive-aged women with positive determinant factors at the triage level in integrated clinics. Information and knowledge on pre-pregnancy services should be disseminated among community members through various means including roadshows and pre-wedding workshops.
    Matched MeSH terms: Multivariate Analysis
  10. Goh AY, Abdel-Latif Mel-A, Lum LC, Abu-Bakar MN
    Intensive Care Med, 2003 Jan;29(1):97-102.
    PMID: 12528029 DOI: 10.1007/s00134-002-1534-9
    Objective: Lack of direct access to tertiary pediatric intensive care services in rural hospitals may be associated with poorer outcome among critically ill children. Inter-hospital transport by non-specialized teams may also lead to increased morbidity and even mortality. We therefore studied the outcome of children with different accessibility to tertiary pediatric care in Malaysia.

    Methods: We prospectively compared the Pediatric Risk of Mortality (PRISM II) adjusted standardized mortality ratio (SMR), unanticipated deaths and length of stay of 131 patients transported from rural hospitals (limited access) with 215 transferred from the casualty wards or other in-hospital wards (direct access) to a tertiary pediatric ICU.

    Results: The transported patients were younger than the in-hospital patients (median age 1.0 versus 6.0 months, p=0.000) and were more likely to have respiratory diseases. Other baseline characteristics did not differ significantly. Differences in access to tertiary intensive care from community hospitals was associated with an extended median length of stay (4.0 versus 2.0 days, p=0.000) but did not affect SMR (0.92 versus 0.84, rate ratio 1.09, 95% CI 0.57-2.01; p=0.348) or percentage of unexpected deaths (4.8% versus 2.8%, p=0.485). The adjusted odds ratio for mortality (1.7, 95% CI 0.7-4.3) associated with transfer was not statistically significant (p=0.248).

    Conclusions: The outcome of critically ill children transferred from community hospitals did not differ from that of those who develop ICU needs in the wards of a tertiary center, despite being transported by non-specialized teams. Outcome was not affected by initial inaccessibility to intensive care if the children finally received care in a tertiary center.
    Matched MeSH terms: Multivariate Analysis
  11. Wong LP, Shakir SM, Atefi N, AbuBakar S
    PLoS One, 2015;10(4):e0122890.
    PMID: 25836366 DOI: 10.1371/journal.pone.0122890
    Efforts to stamp dengue in many dengue endemic countries has met little success. There is a need to re-examine and understand how the public at large view the dengue prevention efforts. This study aimed to examine the demographic factors, theoretical constructs of the Health Belief Model and knowledge about dengue and how these influence the practice of dengue prevention.
    Matched MeSH terms: Multivariate Analysis
  12. Nazif A, Mohammed NI, Malakahmad A, Abualqumboz MS
    Environ Sci Pollut Res Int, 2018 Jan;25(1):283-289.
    PMID: 29032528 DOI: 10.1007/s11356-017-0407-2
    The devastating health effects of particulate matter (PM10) exposure by susceptible populace has made it necessary to evaluate PM10 pollution. Meteorological parameters and seasonal variation increases PM10 concentration levels, especially in areas that have multiple anthropogenic activities. Hence, stepwise regression (SR), multiple linear regression (MLR) and principal component regression (PCR) analyses were used to analyse daily average PM10 concentration levels. The analyses were carried out using daily average PM10 concentration, temperature, humidity, wind speed and wind direction data from 2006 to 2010. The data was from an industrial air quality monitoring station in Malaysia. The SR analysis established that meteorological parameters had less influence on PM10 concentration levels having coefficient of determination (R 2) result from 23 to 29% based on seasoned and unseasoned analysis. While, the result of the prediction analysis showed that PCR models had a better R 2 result than MLR methods. The results for the analyses based on both seasoned and unseasoned data established that MLR models had R 2 result from 0.50 to 0.60. While, PCR models had R 2 result from 0.66 to 0.89. In addition, the validation analysis using 2016 data also recognised that the PCR model outperformed the MLR model, with the PCR model for the seasoned analysis having the best result. These analyses will aid in achieving sustainable air quality management strategies.
    Matched MeSH terms: Multivariate Analysis
  13. Mubarak S, Yusoff NH, Adnan TH
    Clin Exp Reprod Med, 2019 Jun;46(2):87-94.
    PMID: 31181876 DOI: 10.5653/cerm.2019.46.2.87
    OBJECTIVE: The primary objective of this study was to compare clinical pregnancy rates in intrauterine insemination (IUI) treatment cycles with transabdominal ultrasound guidance during intrauterine catheter insemination (US-IUI) versus the "blind method" IUI without ultrasound guidance (BM-IUI). The secondary objective was to compare whether US-IUI had better patient tolerability and whether US-IUI made the insemination procedure easier for the clinician to perform compared to BM-IUI.

    METHODS: This was a randomized controlled trial done at the Reproductive Medicine Unit of General Hospital Kuala Lumpur, Malaysia. We included women aged between 25 and 40 years who underwent an IUI treatment cycle with follicle-stimulating hormone injections for controlled ovarian stimulation.

    RESULTS: A total of 130 patients were recruited for our study. The US-IUI group had 70 patients and the BM-IUI group had 60 patients. The clinical pregnancy rate was 10% in both groups (p> 0.995) and there were no significant difference between the groups for patient tolerability assessed by scores on a pain visual analog scale (p= 0.175) or level of difficulty for the clinician (p> 0.995). The multivariate analysis further showed no significant increase in the clinical pregnancy rate (adjusted odds ratio, 1.07; 95% confidence interval, 0.85-1.34; p= 0.558) in the US-IUI group compared to the BM-IUI group even after adjusting for potential covariates.

    CONCLUSION: The conventional blind method for intrauterine catheter insemination is recommended for patients undergoing IUI treatment. The use of ultrasound during the insemination procedure increased the need for trained personnel to perform ultrasonography and increased the cost, but added no extra benefits for patients or clinicians.

    Matched MeSH terms: Multivariate Analysis
  14. Anka MS, Hassan L, Khairani-Bejo S, Zainal MA, Mohamad RB, Salleh A, et al.
    PLoS One, 2014;9(9):e108673.
    PMID: 25265020 DOI: 10.1371/journal.pone.0108673
    Bovine brucellosis was first reported in Peninsular Malaysia in 1950. A subsequent survey conducted in the country revealed that the disease was widespread. Current knowledge on the potential risk factors for brucellosis occurrence on cattle farms in Malaysia is lacking. Therefore, we conducted a case-control study to identify the potential herd-level risk factors for bovine brucellosis occurrence in four states in the country, namely Kelantan, Pahang, Selangor and Negeri Sembilan. Thirty-five cases and 36 controls of herds were selected where data on farm management, biosecurity, medical history and public health were collected. Multivariable logistic regression identified that Brucella seropositive herds were more likely to; have some interaction with wildlife (OR 8.9, 95% CI = 1.59-50.05); originated from farms where multiple species such as buffalo/others (OR 41.8, 95% CI = 3.94-443.19) and goat/sheep (OR 8.9, 95%Cl = 1.10-71.83) were reared, practice extensive production system (OR 13.6, 95% CI 1.31-140.24) and have had episodes of abortion in the past (OR 51.8, 95% CI = 4.54-590.90) when compared to seronegative herds. Considering the lack of information on the epidemiology of bovine brucellosis in peninsular Malaysia and absence of information on preventing the inception or spread of the disease, this report could contribute to the on-going area-wise national brucellosis eradication program.
    Matched MeSH terms: Multivariate Analysis
  15. Mohd Ashri MH, Abu Saad H, Adznam SNΆ
    Nutrients, 2021 Jun 29;13(7).
    PMID: 34210072 DOI: 10.3390/nu13072248
    The use of dietary supplements is prevalent among many groups worldwide. However, few studies have examined their use among government employees. The aim of this cross-sectional study was to determine the association among sociodemographic characteristics, body weight status, and energy intake with dietary supplement use among government employees in Putrajaya, Malaysia. Simple random sampling was used to select a sample of 460 government employees from six ministries in Putrajaya, Malaysia. The data used in this study were collected through anthropometric measurements (height, weight, % body fat, waist and hip circumferences), a self-administered questionnaire (sociodemographic characteristics and dietary supplements use), and an interviewer-administered questionnaire (24-hour dietary recall; fruit and vegetable intake). The results indicated that the prevalence of dietary supplement use was 55.4%, with vitamin C (38.4%) being the most popular type of dietary supplement. Health issues (80.8%) were the most common reason for usage, internet (59.2%) was the main source of information, and pharmacies (71.8%) were the most indicated places to purchase dietary supplements. A multivariate analysis showed that participants who were female, married, had better monthly income, lived within a smaller household size, had a normal body mass index, classified as having unhealthily high body fat percentage, did not skip breakfast, and consumed at least five servings of fruits and vegetables per day were significantly more likely to use dietary supplements. In conclusion, health-conscious groups were more prone to consume dietary supplements, and due to the high prevalence of dietary supplement use, dissemination of accurate scientific information regarding dietary supplements is highly recommended among government employees.
    Matched MeSH terms: Multivariate Analysis
  16. Ramakreshnan L, Fong CS, Sulaiman NM, Aghamohammadi N
    Sci Total Environ, 2020 Dec 20;749:141457.
    PMID: 33370890 DOI: 10.1016/j.scitotenv.2020.141457
    Recognizing and mainstreaming pertinent walkability elements into the university campus planning is crucial to materialise green mandates of the campus, while enhancing social and economic sustainability. In one of such attempts, this transverse study investigated the walking motivations, built environment factors associated with campus walkability and the relative importance of the studied built environment factors in reference to the sociodemographic attributes from the viewpoint of the campus community in a tropical university campus in Kuala Lumpur, Malaysia. An online survey using a structured questionnaire was conducted between May and September 2019. The built environment factors associated with campus walkability were expressed and ranked as adjusted scores (AS). Meanwhile, multivariable logistic regression was deployed to examine the relative importance of the studied built environment factors in reference to the sociodemographic attributes of the campus community. Among 504 total responses acquired, proximity between complementary land uses (90.7%) was reported as the main motivation for walking. On the other hand, street connectivity and accessibility (AS: 97.62%) was described as the most opted built environment factor, followed by land use (AS: 96.76%), pedestrian infrastructure (AS: 94.25%), walking experience (AS: 87.07%), traffic safety (AS: 85.28%) and campus neighbourhood (AS: 59.62%), respectively. Among the sociodemographic attributes, no regular monthly income (OR = 3.162; 95% CI = 1.165-8.379; p 
    Matched MeSH terms: Multivariate Analysis
  17. Fauziah N, Quek KF, Agus Salim MB
    MyJurnal
    Recent years have witnessed unprecedented changes in the design and demands of work, and the emergence of job stress as a major concern. The aim of the study was to determine the psychosocial problems in relation to nature of work among female nurses at Hospital Selayang. The study was a cross-sectional study and the study population comprised of female nurses who are currently working at Hospital Selayang. A total of 393 study subjects were randomly selected and each respondent has been given a set of complete validated self-administrated Copenhagen Psychosocial Questionnaire. The result showed that the prevalence of having psychosocial problems was 24.9%. It is show that married nurses with more than three children has 3.54 (95%CI: 1.81-6.94) higher risks to have the problems compared to those with 3 or less children. Shiftwork nurses have 1.74 (95%CI: 1.01-2.99) more risk to have psychosocial problems compared to those who are not doing shiftwork. From the crude odds ratio, nurses who have served the service for more than seven years, there was 1.53 times more risk (95%CI: 0.89-2.63) to have psychosocial problems compared to those who only have service of seven years or less. From multivariate analysis, the risk of having psychosocial problems among nurses who are doing shiftwork found to be two times greater than those who are not doing shiftwork (OR=2.15; 95%CI: 1.12- 4.11) . Psychosocial problems in relation to nature of work among nurses at Hospital Selayang are higher among nurses who are doing shdtwork. The hospital management needs to overcome the problems and organizing the mental health programs among workers.
    Matched MeSH terms: Multivariate Analysis
  18. Tan DC, Kassim NK, Ismail IS, Hamid M, Ahamad Bustamam MS
    Biomed Res Int, 2019;2019:7603125.
    PMID: 31275982 DOI: 10.1155/2019/7603125
    Paederia foetida L. (Rubiaceae) is a climber which is widely distributed in Asian countries including Malaysia. The plant is traditionally used to treat various diseases including diabetes. This study is to evaluate the enzymatic inhibition activity of Paederia foetida twigs extracts and to identify the metabolites responsible for the bioactivity by gas chromatography-mass spectrometry (GC-MS) metabolomics profiling. Three different twig extracts, namely, hexane (PFH), chloroform (PFC), and methanol (PFM), were submerged for their α-amylase and α-glucosidase inhibition potential in 5 replicates for each. Results obtained from the loading column scatter plot of orthogonal partial least square (OPLS) model revealed the presence of 12 bioactive compounds, namely, dl-α-tocopherol, n-hexadecanoic acid, 2-hexyl-1-decanol, stigmastanol, 2-nonadecanone, cholest-8(14)-en-3-ol, 4,4-dimethyl-, (3β,5α)-, stigmast-4-en-3-one, stigmasterol, 1-ethyl-1-tetradecyloxy-1-silacyclohexane, ɣ-sitosterol, stigmast-7-en-3-ol, (3β,5α,24S)-, and α-monostearin. In silico molecular docking was carried out using the crystal structure α-amylase (PDB ID: 4W93) and α-glucosidase (PDB ID: 3WY1). α-Amylase-n-hexadecanoic acid exhibited the lowest binding energy of -2.28 kcal/mol with two hydrogen bonds residue, namely, LYS178 and TYR174, along with hydrophobic interactions involving PRO140, TRP134, SER132, ASP135, and LYS172. The binding interactions of α-glucosidase-n-hexadecanoic acid complex ligand also showed the lowest binding energy among 5 major compounds with the energy value of -4.04 kcal/mol. The complex consists of one hydrogen bond interacting residue, ARG437, and hydrophobic interactions with ALA444, ASP141, GLN438, GLU432, GLY374, LEU373, LEU433, LYS352, PRO347, THR445, HIS348, and PRO351. The study provides informative data on the potential antidiabetic inhibitors identified in Paederia foetida twigs, indicating the plant has the therapeutic effect properties to manage diabetes.
    Matched MeSH terms: Multivariate Analysis
  19. Pervaiz I, Saleem H, Sarfraz M, Imran Tousif M, Khurshid U, Ahmad S, et al.
    Food Res Int, 2020 11;137:109606.
    PMID: 33233202 DOI: 10.1016/j.foodres.2020.109606
    Calligonum polygonoides L. also known as famine food plant, is normally consumed in times of food scarcity in India and Pakistan and also used traditionally in the management of common diseases. The present design aims to provide an insight into the medicinal potential of four solvent extracts of C. polygonoides via an assessment of its phytochemical profile, antioxidant and enzyme inhibitory potential. Phytochemical composition was estimated by deducing total bioactive constituents, UHPLC-MS secondary metabolites profile, and HPLC phenolic quantification. Antioxidant potential was determined via six methods (radical scavenging (DPPH and ABTS), reducing power (FRAP and CUPRAC), phosphomolybdenum total antioxidant capacity and metal chelation activity). Enzyme inhibitory potential was assessed against clinical enzymes (acetylcholinesterase -AChE, butyrylcholinesterase -BChE, tyrosinase, and α-amylase). The highest amounts of phenolic contents were found in chloroform extract (76.59 mg GAE/g extract) which may be attributed to its higher radical scavenging, reducing power and tyrosinase inhibition potential. The n-butanol extract containing the maximum amount of flavonoids (55.84 mg RE/g extract) exhibited highest metal chelating capacity. Similarly, the n-hexane extract was found to be most active against AChE (4.65 mg GALAE/g extract), BChE (6.59 mg GALAE/g extract), and α-amylase (0.70 mmol ACAE/g extract) enzymes. Secondary metabolite assessment of the crude methanol extract as determined by UHPLC-MS analysis revealed the presence of 24 (negative ionization mode) and 15 (positive ionization mode) secondary metabolites, with most of them belonging to phenolic, flavonoids, terpene, and alkaloid groups. Moreover, gallic acid and naringenin were the main phenolics quantified by HPLC-PDA analysis in all the tested extracts (except n-butanol extract). PCA statistical analysis was also conducted to establish any possible relationship amongst bioactive contents and biological activities. Overall, the C. polygonoides extracts could be further considered to isolate bioactive enzyme inhibitory and antioxidant natural phytocompounds.
    Matched MeSH terms: Multivariate Analysis
  20. Hassan MR, Suan MA, Soelar SA, Mohammed NS, Ismail I, Ahmad F
    Asian Pac J Cancer Prev, 2016;17(7):3575-81.
    PMID: 27510011
    BACKGROUND: Cancer survival analysis is an essential indicator for effective early detection and improvements in cancer treatment. This study was undertaken to document colorectal cancer survival and associated prognostic factors in Malaysians.

    MATERIALS AND METHODS: All data were retrieved from the National Cancer Patient Registry Colorectal Cancer. Only cases with confirmed diagnosis through histology between the year 2008 and 2009 were included. Retrieved data include sociodemographic information, pathological features and treatment received. Survival curves were plotted using the KaplanMeier method. Univariate analysis of all variables was then made using the Logrank test. All significant factors that influenced survival of patients were further analysed in a multivariate analysis using Cox' regression.

    RESULTS: Total of 1,214 patients were included in the study. The overall 3 and 5year survival rates were 59.1% and 48.7%, respectively. Patients with localized tumours had better prognosis compared to those with advanced stage cancer. In univariate analysis, staging at diagnosis (p<0.001), primary tumour size (p<0.001), involvement of lymph nodes (p<0.001) and treatment modalities (p=0.001) were found to be predictors of survival. None of the sociodemographic characteristics were found to exert any influence. In Cox regression analysis, staging at diagnosis (p<0.001), primary tumour size (p<0.001), involvement of lymph nodes (p<0.001) and treatment modalities (p<0.001) were determined as independent prognostic factors of survival after adjusted for age, gender and ethnicity.

    CONCLUSIONS: The overall survival rate for colorectal cancer patients in Malaysia is similar to those in other Asian countries, with staging at diagnosis, primary tumor size, involvement of lymph node and treatment modalities having significant effects. More efforts are needed to improve national survival rates in future.
    Matched MeSH terms: Multivariate Analysis
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