Displaying publications 1901 - 1920 of 5421 in total

Abstract:
Sort:
  1. Chiu CK, Chan CYW, Cheung JPY, Cheung PWH, Gani SMA, Kwan MK
    J Orthop Surg (Hong Kong), 2021 2 12;29(1):2309499020988176.
    PMID: 33569998 DOI: 10.1177/2309499020988176
    PURPOSE: In this study we investigated on the personal protective equipment (PPE) usage, recycling, and disposal among spine surgeons in the Asia Pacific region.

    METHODS: A cross-sectional survey was carried out among spine surgeons in Asia Pacific. The questionnaires were focused on the usage, recycling and disposal of PPE.

    RESULTS: Two hundred and twenty-two surgeons from 19 countries participated in the survey. When we sub-analysed the differences between countries, the provision of adequate PPE by hospitals ranged from 37.5% to 100%. The usage of PPE was generally high. The most used PPE were surgical face masks (88.7%), followed by surgical caps (88.3%), gowns (85.6%), sterile gloves (83.3%) and face shields (82.0%). The least used PPE were powered air-purifying respirators (PAPR) (23.0%) and shoes/boots (45.0%). The commonly used PPE for surgeries involving COVID-19 positive patients were N95 masks (74.8%), sterile gloves (73.0%), gowns (72.1%), surgical caps (71.6%), face shields (64.4%), goggles (64.0%), shoe covers (58.6%), plastic aprons (45.9%), shoes/boots (45.9%), surgical face masks (36.5%) and PAPRs (21.2%). Most PPE were not recycled. Biohazard bins were the preferred method of disposal for all types of PPE items compared to general waste.

    CONCLUSIONS: The usage of PPE was generally high among most countries especially for surgeries involving COVID-19 positive patients except for Myanmar and Nepal. Overall, the most used PPE were surgical face masks. For surgeries involving COVID-19 positive patients, the most used PPE were N95 masks. Most PPE were not recycled. Biohazard bins were the preferred method of disposal for all types of PPE.

    Matched MeSH terms: Disease Transmission, Infectious/prevention & control*
  2. Arora S, Steuernagel B, Gaurav K, Chandramohan S, Long Y, Matny O, et al.
    Nat Biotechnol, 2019 02;37(2):139-143.
    PMID: 30718880 DOI: 10.1038/s41587-018-0007-9
    Disease resistance (R) genes from wild relatives could be used to engineer broad-spectrum resistance in domesticated crops. We combined association genetics with R gene enrichment sequencing (AgRenSeq) to exploit pan-genome variation in wild diploid wheat and rapidly clone four stem rust resistance genes. AgRenSeq enables R gene cloning in any crop that has a diverse germplasm panel.
    Matched MeSH terms: Disease Resistance/genetics*
  3. Ayipo YO, Mordi MN, Mustapha M, Damodaran T
    Eur J Pharmacol, 2021 Feb 15;893:173837.
    PMID: 33359647 DOI: 10.1016/j.ejphar.2020.173837
    Neuropsychiatric disorders are diseases of the central nervous system (CNS) which are characterised by complex pathomechanisms that including homeostatic failure, malfunction, atrophy, pathology remodelling and reactivity anomaly of the neuronal system where treatment options remain challenging. β-Carboline (βC) alkaloids are scaffolds of structurally diverse tricyclic pyrido[3,4-b]indole alkaloid with vast occurrence in nature. Their unique structural features which favour interactions with enzymes and protein receptor targets account for their potent neuropharmacological properties. However, our current understanding of their biological mechanisms for these beneficial effects, especially for neuropsychiatric disorders is sparse. Therefore, we present a comprehensive review of the scientific progress in the last two decades on the prospective pharmacology and physiology of the βC alkaloids in the treatment of some neuropsychiatric conditions such as depression, anxiety, Alzheimer's disease, Parkinson's disease, brain tumour, essential tremor, epilepsy and seizure, licking behaviour, dystonia, agnosia, spasm, positive ingestive response as demonstrated in non-clinical models. The current evidence supports that βC alkaloids offer potential therapeutic agents against most of these disorders and amenable for further drug design.
    Matched MeSH terms: Alzheimer Disease; Parkinson Disease
  4. Abbavannagari Bharath Kumar, Marakanam Srinivasan Umashankar, Sandeep Podda
    MyJurnal
    Introduction: Diabetes is a chronic metabolic disease and noted to be incidence is intensifying globally and contem- plated as epidemic. The study is aimed to assess the coronary artery disease risk profile associated diabetes mellitus patient and to identify the clinical pharmacist care services in the management and to control the risk burden in the clinical practice. Method: A prospective observational study was conducted among the consecutive patients of coronary artery disease associated diabetic patients in a tertiary care teaching hospital over 6 months period. A sam- ple of 150 patients was recruited in the study. Data analysis was done with graph pad prism software 5.01. Results: The present study revealed that coronary artery disease in diabetes was more prevalent in age group between 41-50 years. About 54.66% patients with hyperlipidemia were at risk to develop the coronary artery disease complication. Glycated hemoglobin test was detected in 40% of the patient showing abnormal levels and around 43.33% of patient had an abnormal fasting blood sugar level. The study showed only 32% of patients was prescribed Insulin & oral hy- poglycemic agents and 13 % were treated with statins. Conclusion: It could be concluded that the causative factors should be controlled and treated with an early need for amalgamation of clinical pharmacist care services with the health care team on life style modification counseling could ultimately improve the patient health outcomes and also lowers progression of coronary artery disease risk complications among diabetic patients.
    Matched MeSH terms: Coronary Artery Disease; Disease Progression
  5. Salim NAM, Wah YB, Reeves C, Smith M, Yaacob WFW, Mudin RN, et al.
    Sci Rep, 2021 01 13;11(1):939.
    PMID: 33441678 DOI: 10.1038/s41598-020-79193-2
    Dengue fever is a mosquito-borne disease that affects nearly 3.9 billion people globally. Dengue remains endemic in Malaysia since its outbreak in the 1980's, with its highest concentration of cases in the state of Selangor. Predictors of dengue fever outbreaks could provide timely information for health officials to implement preventative actions. In this study, five districts in Selangor, Malaysia, that demonstrated the highest incidence of dengue fever from 2013 to 2017 were evaluated for the best machine learning model to predict Dengue outbreaks. Climate variables such as temperature, wind speed, humidity and rainfall were used in each model. Based on results, the SVM (linear kernel) exhibited the best prediction performance (Accuracy = 70%, Sensitivity = 14%, Specificity = 95%, Precision = 56%). However, the sensitivity for SVM (linear) for the testing sample increased up to 63.54% compared to 14.4% for imbalanced data (original data). The week-of-the-year was the most important predictor in the SVM model. This study exemplifies that machine learning has respectable potential for the prediction of dengue outbreaks. Future research should consider boosting, or using, nature inspired algorithms to develop a dengue prediction model.
    Matched MeSH terms: Disease Outbreaks/prevention & control*
  6. Chukwu SC, Rafii MY, Ramlee SI, Ismail SI, Hasan MM, Oladosu YA, et al.
    Mol Biol Rep, 2019 Feb;46(1):1519-1532.
    PMID: 30628024 DOI: 10.1007/s11033-019-04584-2
    Breeding for disease resistant varieties remains very effective and economical in controlling the bacterial leaf blight (BLB) of rice. Breeders have played a major role in developing resistant rice varieties against the BLB infection which has been adjudged to be a major disease causing significant yield reduction in rice. It would be difficult to select rice crops with multiple genes of resistance using the conventional approach alone. This is due to masking effect of genes including epistasis. In addition, conventional breeding takes a lot of time before a gene of interest can be introgressed. Linkage drag is also a major challenge in conventional approach. Molecular breeding involving markers has facilitated the characterization and introgression of BLB disease resistance genes. Biotechnology has brought another innovation in form of genetic engineering (transgenesis) of rice. Although, molecular breeding cannot be taken as a substitute for conventional breeding, molecular approach for combating BLB disease in rice is worthwhile given the demand for increased production of rice in a fast growing population of our society. This present article highlights the recent progress from conventional to molecular approach in breeding for BLB disease resistant rice varieties.
    Matched MeSH terms: Disease Resistance*
  7. Kaur R, Lal SK
    Rev Med Virol, 2020 03;30(2):e2097.
    PMID: 31989716 DOI: 10.1002/rmv.2097
    Viruses are obligate parasites known to interact with a wide variety of host proteins at different stages of infection. Current antiviral treatments target viral proteins and may be compromised due to the emergence of drug resistant viral strains. Targeting viral-host interactions is now gaining recognition as an alternative approach against viral infections. Recent research has revealed that heterogeneous ribonucleoprotein A1, an RNA-binding protein, plays an essential functional and regulatory role in the life cycle of many viruses. In this review, we summarize the interactions between heterogeneous ribonucleoprotein A1 (hnRNPA1) and multiple viral proteins during the life cycle of RNA and DNA viruses. hnRNPA1 protein levels are modulated differently, in different viruses, which further dictates its stability, function, and intracellular localization. Multiple reports have emphasized that in Sindbis virus, enteroviruses, porcine endemic diarrhea virus, and rhinovirus infection, hnRNPA1 enhances viral replication and survival. However, in others like hepatitis C virus and human T-cell lymphotropic virus, it exerts a protective response. The involvement of hnRNPA1 in viral infections highlights its importance as a central regulator of host and viral gene expression. Understanding the nature of these interactions will increase our understanding of specific viral infections and pathogenesis and eventually aid in the development of novel and robust antiviral intervention strategies.
    Matched MeSH terms: Disease Susceptibility*
  8. Barber BE, Rajahram GS, Grigg MJ, William T, Anstey NM
    Malar J, 2017 03 31;16(1):135.
    PMID: 28359340 DOI: 10.1186/s12936-017-1787-y
    BACKGROUND: The 2016 World Health Organization (WHO) World Malaria Report documents substantial progress towards control and elimination of malaria. However, major challenges remain. In some regions of Southeast Asia, the simian parasite Plasmodium knowlesi has emerged as an important cause of human malaria, and the authors believe this species warrants regular inclusion in the World Malaria Report.

    MAIN TEXT: Plasmodium knowlesi is the most common cause of malaria in Malaysia, and cases have also been reported in nearly all countries of Southeast Asia. Outside of Malaysia, P. knowlesi is frequently misdiagnosed by microscopy as Plasmodium falciparum or Plasmodium vivax. Thus, P. knowlesi may be underdiagnosed in affected regions and its true incidence underestimated. Acknowledgement in the World Malaria Report of the regional importance of P. knowlesi will facilitate efforts to improve surveillance of this emerging parasite. Furthermore, increased recognition will likely lead to improved delivery of effective treatment for this potentially fatal infection, as has occurred in Malaysia where P. knowlesi case-fatality rates have fallen despite rising incidence. In a number of knowlesi-endemic countries, substantial progress has been made towards the elimination of P. vivax and P. falciparum. However, efforts to eliminate these human-only species should not preclude efforts to reduce human malaria from P. knowlesi. The regional importance of knowlesi malaria was recognized by the WHO with its recent Evidence Review Group meeting on knowlesi malaria to address strategies for prevention and mitigation.

    CONCLUSION: The WHO World Malaria Report has an appropriate focus on falciparum and vivax malaria, the major causes of global mortality and morbidity. However, the authors hope that in future years this important publication will also incorporate data on the progress and challenges in reducing knowlesi malaria in regions where transmission occurs.

    Matched MeSH terms: Communicable Disease Control/methods
  9. Narula N, Wong ECL, Dehghan M, Mente A, Rangarajan S, Lanas F, et al.
    BMJ, 2021 07 14;374:n1554.
    PMID: 34261638 DOI: 10.1136/bmj.n1554
    OBJECTIVE: To evaluate the relation between intake of ultra-processed food and risk of inflammatory bowel disease (IBD).

    DESIGN: Prospective cohort study.

    SETTING: 21 low, middle, and high income countries across seven geographical regions (Europe and North America, South America, Africa, Middle East, south Asia, South East Asia, and China).

    PARTICIPANTS: 116 087 adults aged 35-70 years with at least one cycle of follow-up and complete baseline food frequency questionnaire (FFQ) data (country specific validated FFQs were used to document baseline dietary intake). Participants were followed prospectively at least every three years.

    MAIN OUTCOME MEASURES: The main outcome was development of IBD, including Crohn's disease or ulcerative colitis. Associations between ultra-processed food intake and risk of IBD were assessed using Cox proportional hazard multivariable models. Results are presented as hazard ratios with 95% confidence intervals.

    RESULTS: Participants were enrolled in the study between 2003 and 2016. During the median follow-up of 9.7 years (interquartile range 8.9-11.2 years), 467 participants developed incident IBD (90 with Crohn's disease and 377 with ulcerative colitis). After adjustment for potential confounding factors, higher intake of ultra-processed food was associated with a higher risk of incident IBD (hazard ratio 1.82, 95% confidence interval 1.22 to 2.72 for ≥5 servings/day and 1.67, 1.18 to 2.37 for 1-4 servings/day compared with <1 serving/day, P=0.006 for trend). Different subgroups of ultra-processed food, including soft drinks, refined sweetened foods, salty snacks, and processed meat, each were associated with higher hazard ratios for IBD. Results were consistent for Crohn's disease and ulcerative colitis with low heterogeneity. Intakes of white meat, red meat, dairy, starch, and fruit, vegetables, and legumes were not associated with incident IBD.

    CONCLUSIONS: Higher intake of ultra-processed food was positively associated with risk of IBD. Further studies are needed to identify the contributory factors within ultra-processed foods.

    STUDY REGISTRATION: ClinicalTrials.gov NCT03225586.

    Matched MeSH terms: Crohn Disease/epidemiology*
  10. Chan Y, Ng SW, Mehta M, Gupta G, Chellappan DK, Dua K
    Future Med Chem, 2020 11;12(21):1887-1890.
    PMID: 33054387 DOI: 10.4155/fmc-2020-0206
    Matched MeSH terms: Pulmonary Disease, Chronic Obstructive/drug therapy
  11. Ching BH, Mohamed AR, Khoo TB, Ismail HI
    Mult Scler, 2015 Aug;21(9):1209-11.
    PMID: 26199345 DOI: 10.1177/1352458515593404
    Multiphasic disseminated encephalomyelitis (MDEM) followed by optic neuritis (ON) has been described as a new entity in recent years. Gluten encephalopathy has also been recognized as a neurological manifestation of celiac disease. Accurate diagnosis of both is important due to the therapeutic implications. We report a girl presenting with recurrent encephalopathic polyfocal demyelinating episodes followed by optic neuritis, and a clinical history suggestive of gluten sensitivity. She had persistently high ESR, neutrophilia, and tested positive for anti-MOG (myelin oligodendrocyte glycoprotein) antibody. She responded well to methylprednisolone in each relapse, and achieved remission for a year after azathioprine was added.
    Matched MeSH terms: Celiac Disease/complications*
  12. Foo LS, Yap WS, Hum YC, Manan HA, Tee YK
    J Magn Reson, 2020 01;310:106648.
    PMID: 31760147 DOI: 10.1016/j.jmr.2019.106648
    Chemical exchange saturation transfer (CEST) magnetic resonance imaging (MRI) holds great potential to provide new metabolic information for clinical applications such as tumor, stroke and Parkinson's Disease diagnosis. Many active research and developments have been conducted to translate this emerging MRI technique for routine clinical applications. In general, there are two CEST quantification techniques: (i) model-free and (ii) model-based techniques. The reliability of these quantification techniques depends heavily on the experimental conditions and quality of the collected data. Errors such as noise may lead to misleading quantification results and thus inaccurate diagnosis when CEST imaging becomes a standard or routine imaging scan in the future. This paper investigates the accuracy and robustness of these quantification techniques under different signal-to-noise (SNR) levels and magnetic field strengths. The quantified CEST effect before and after adding random Gaussian White Noise using model-free and model-based quantification techniques were compared. It was found that the model-free technique consistently yielded larger average percentage error across all tested parameters compared to its model-based counterpart, and that the model-based technique could withstand SNR of about 3 times lower than the model-free technique. When applied on noisy brain tumor, ischemic stroke, and Parkinson's Disease clinical data, the model-free technique failed to produce significant differences between normal and abnormal tissue whereas the model-based technique consistently generated significant differences. Although the model-free technique was less accurate and robust, its simplicity and thus speed would still make it a good approximate when the SNR was high (>50) or when the CEST effect was large and well-defined. For more accurate CEST quantification, model-based techniques should be considered. When SNR was low (<50) and the CEST effect was small such as those acquired from clinical field strength scanners, which are generally 3T and below, model-based techniques should be considered over model-free counterpart to maintain an average percentage error of less than 44% even under very noisy condition as tested in this work.
    Matched MeSH terms: Parkinson Disease/diagnosis
  13. Rozilawati H, Tanaselvi K, Nazni WA, Mohd Masri S, Zairi J, Adanan CR, et al.
    Trop Biomed, 2015 Mar;32(1):49-64.
    PMID: 25801254 MyJurnal
    Entomological surveillance was conducted in order to determine the abundance and to evaluate any changes of biological vectors or ecology, especially in the dengue outbreak areas. The abundance and breeding preference of Aedes albopictus and Aedes aegypti were conducted in selected dengue outbreak localities in three states of peninsular Malaysia namely Selangor, Federal Territory of Kuala Lumpur, and Penang Island using ovitraps and larval survey method. It was determined that Ae. albopictus was predominant in most of the localities and found to breed more outdoor than indoor. A wide range of breeding foci were recorded in this study. It was also determined that ovitrap method was more effective to detect the presence of Aedes mosquitoes when the larval survey was at low rate of infestation. The abundance of Ae. albopictus in dengue outbreak localities emphasis that the vector control programme should also target this species together with the primary dengue vector, Ae. aegypti.
    Matched MeSH terms: Disease Outbreaks*
  14. Fariz-Safhan MN, Tee HP, Abu Dzarr GA, Sapari S, Lee YY
    Trop Biomed, 2014 Jun;31(2):270-80.
    PMID: 25134895 MyJurnal
    During a dengue outbreak in 2005 in the East-coast region of Peninsular Malaysia, one of the worst hit areas in the country at that time, we undertook a prospective study. We aimed to describe the bleeding outcome and changes in the liver and hematologic profiles that were associated with major bleeding outcome during the outbreak. All suspected cases of dengue admitted into the only referral hospital in the region during the outbreak were screened for WHO 2002 criteria and serology. Liver function, hematologic profile and severity of bleeding outcome were carefully documented. The association between symptoms, liver and hematologic impairments with the type of dengue infection (classical vs. hemorrhagic) and bleeding outcome (major vs. non-major) was tested. Dengue fever was confirmed in 183 cases (12.5/100,000 population) and 144 cases were analysed. 59.7% were dengue hemorrhagic fever, 3.5% were dengue shock syndrome and there were 3 in-hospital deaths. Major bleeding outcome (gastrointestinal bleeding, intracranial bleeding or haemoptysis) was present in 14.6%. Elevated AST, ALT and bilirubin were associated with increasing severity of bleeding outcome (all P < 0.05). Platelet count and albumin level were inversely associated with increasing severity of bleeding outcome (both P < 0.001). With multivariable analysis, dengue hemorrhagic fever was more likely in the presence of abdominal pain (OR 1.1, 95% CI 0.02- 1.6) and elevated AST (OR 1.0, 95% CI 1.0-1.1) but the presence of pleural effusion (OR 5.8, 95% CI: 1.1-29.9) and elevated AST (OR 1.008, 95% CI: 1.005-1.01) predicted a severe bleeding outcome. As a conclusion, the common presence of a severe hemorrhagic form of dengue fever may explain the rising death toll in recent outbreaks and the worst impairment in liver and hematologic profiles was seen in major bleeding outcome.
    Study site: Hospital Tengku Ampuan Afzan (HTAA), Kuantan, Pahang, Malaysia
    Matched MeSH terms: Disease Outbreaks*
  15. Abu Hassan A, Hamady D, Tomomitsu S, Michael B, Jameel S L AS
    Trop Biomed, 2010 Dec;27(3):404-16.
    PMID: 21399580 MyJurnal
    Japanese encephalitis (JE) virus activity is an important cause of viral encephalitis in Southeast Asia. In Malaysia, JEV activity has been first detected in Culex gelidus in 1976. Since then, no study has fully addressed the seasonal dynamics of this mosquito. As irrigated rice production expands, the incidence of JEV vectors, particularly Cx. gelidus is expected to increase. We surveyed Penang Island to determine the breeding patterns of Cx. gelidus and their potential insect predators, in relation to habitat/niche and rice growing period. Six rice fields proper (RFP) and related drainage canals (DC) were visited through three cultivation cycles (CCs) over 17 months. Weekly visits were performed to each of the 36 sites and mosquito larvae and aquatic insects were sampled from RFP and DCs using dippers. Culex gelidus was abundant in RFP and almost absent in DCs. Its densities usually were high during the first and 3rd CC and when the RFs were in Fp, Pp and Gp. In DCs, the mosquito was abundant during Mp, e.g., 2nd CC. Predators, especially those belonging to the families Corixidae, Coenagrionidae and Dytiscidae, were more present in RFP. Predator numbers usually were high during the first CC; in some cases predator abundance peaked during other CCs, e.g., corixids and dysticids. In RFP, neither corixids nor coenagrionids showed any positive correlation with densities of Cx. gelidus. However, dytiscids' population peaked when the mosquito densities were on the rise. These observations suggest that Cx. gelidus is active during the period of rice cultivation. Operational vector control through bio-control or with insecticides near the end of the rice cultivation season in RFP may prove beneficial in reducing the density of Cx. gelidus, but also the amount of bio-agent or insecticide applied on riceland.
    Matched MeSH terms: Disease Vectors*
  16. Pongsiri P, Auksornkitti V, Theamboonlers A, Luplertlop N, Rianthavorn P, Poovorawan Y
    Trop Biomed, 2010 Aug;27(2):167-76.
    PMID: 20962712 MyJurnal
    The resurgence of Chikungunya virus (CHIKV) in the southern, northeastern and northern parts of Thailand, inflicting approximately 46,000 reported cases since October 2008 until December 2009, has raised public health concerns. In the present study, we characterized nearly complete genome sequences of four CHIKV isolates obtained from 2008 to 2009 outbreaks in Thailand. Phylogenetic analysis was performed to determine the relationships of the study viruses with previously reported isolates. Results showed that 2008-2009 Thailand isolates belonged to the East, Central and South African genotype and were most closely related to isolates detected in Malaysia and Singapore in 2008. This was in contrast to isolates from all previous outbreaks in Thailand which were caused by an Asian genotype. We describe several novel mutations in Thailand isolates that warrants further investigation on characterization of CHIKV from different parts of the country to better understand the molecular epidemiology of Chikungunya fever outbreaks in Thailand.
    Matched MeSH terms: Disease Outbreaks*
  17. Lat-Lat H, Hassan L, Sani RA, Sheikh-Omar AR, Hishamfariz M, Ng V
    Trop Biomed, 2007 Jun;24(1):77-81.
    PMID: 17568380 MyJurnal
    This paper presents investigation of lungworm disease outbreaks that is based on retrospective examination of cases recorded between 1994 and 2000 on a government beef cattle breeding centre in the state of Pahang, peninsular Malaysia. The breed of cattle on the centre was Nelore and the mean population over a 7-year period (from 1994 to 2000) was 1612. All animals were allowed to graze on pasture and mixed grazing was practiced on the farm. The routine de-worming programme was performed using levamisole and ivermectin from 1994 to 1998 and abamectin in 1999 and 2000 on 1 to 3-month-old calves and an annual dose given to the adult cattle. Nelore was introduced into the farm in 1991, three years before the first outbreak from Brazil where Dictyocaulus viviparus infection had been reported. No lungworm infection had been observed in the farm prior to the animal introduction. Within the 7-year period, 36 fatalities occurred and the annual mortality rate due to lungworm infection was 0.31%. The highest rate was recorded in 1997. Among the total 36 deaths, about 75% of deaths occurred in calves aged between 6 months and 12 months, 67% were males and 33% were female cattle. The highest number of deaths (19%) occurred in the month of November. In conclusion, D. viviparus infection may have been introduced into a tropical climate along with consignments of cattle from lungworm endemic areas resulting in fatal disease outbreaks for a few years following the animal's initial introduction.
    Matched MeSH terms: Disease Outbreaks/veterinary
  18. Cheah WL, Chang MS, Wang YC
    Trop Biomed, 2006 Jun;23(1):85-96.
    PMID: 17041556 MyJurnal
    The objective of this study was to elucidate the association of various risk factors with dengue cases reported in Lundu district, Sarawak, by analyzing the interaction between environmental, entomological, socio-demographic factors. Besides conventional entomological, serological and house surveys, this study also used GIS technology to generate geographic and environmental data on Aedes albopictus and dengue transmission. Seven villages were chosen based on the high number of dengue cases reported. A total of 551 households were surveyed. An overall description of the socio-demographic background and basic facilities was presented together with entomological and geographical profiles. For serological and ovitrap studies, systematic random sampling was used. Serological tests indicated that 23.7% of the 215 samples had a history of dengue, either recent or previous infections. Two samples (0.9%) were confirmed by IgM ELISA and 49 samples (22.8%) had IgG responses. A total of 32,838 Aedes albopictus eggs were collected in 56 days of trapping. Cluster sampling was also done to determine whether any of the risk factors (entomological or geographical) were influenced by geographical location. These clusters were defined as border villages with East Kalimantan and roadside villages along Lundu/Biawas trunk road. The data collected were analyzed using SPSS version 10.01. Descriptive analysis using frequency, means, and median were used. To determine the association between variables and dengue cases reported, and to describe the differences between the two clusters of villages, two-sample t-test, and Pearson's Chi-Square were used. Accurate maps were produced with overlay and density function, which facilitates the map visualization and report generating phases. This study also highlights the use of differential Global Positioning System in mapping sites of 1m accuracy. Analysis of the data revealed there are significant differences in clusters of villages attributable to container density, house density, distance of the house from the main road, and number of Ae. albopictus eggs from ovitraps set indoor, outdoor and in dumping sites (Person's Chi-Square = 6.111, df = 1, p < 0.01). Further analysis using t-test showed that house density, container density, indoor mosquitoes egg count, outdoor mosquitoes egg count, and dumping sites mosquitoes egg count were higher at the roadside villages compared to border villages. A number of potential risk factors including those generated from GIS were investigated. None of the factors investigated in this study were associated with the dengue cases reported.
    Matched MeSH terms: Disease Outbreaks*
  19. Hassan NB, Ismail HC, Naing L, Conroy RM, Abdul Rahman AR
    Br J Clin Pharmacol, 2010 Oct;70(4):500-13.
    PMID: 20840442 DOI: 10.1111/j.1365-2125.2009.03597.x
    The aims were to develop and validate a new Prescription Quality Index (PQI) for the measurement of prescription quality in chronic diseases.
    Matched MeSH terms: Chronic Disease/drug therapy*
  20. Angelopoulou E, Paudel YN, Piperi C
    J Mol Med (Berl), 2020 11;98(11):1525-1546.
    PMID: 32978667 DOI: 10.1007/s00109-020-01984-x
    Despite extensive research, gliomas are associated with high morbidity and mortality, mainly attributed to the rapid growth rate, excessive invasiveness, and molecular heterogeneity, as well as regenerative potential of cancer stem cells. Therefore, elucidation of the underlying molecular mechanisms and the identification of potential molecular diagnostic and prognostic biomarkers are of paramount importance. HOX transcript antisense intergenic RNA (HOTAIR) is a well-studied long noncoding RNA, playing an emerging role in tumorigenesis of several human cancers. A growing amount of preclinical and clinical evidence highlights the pro-oncogenic role of HOTAIR in gliomas, mainly attributed to the enhancement of proliferation and migration, as well as inhibition of apoptosis. In vitro and in vivo studies demonstrate that HOTAIR modulates the activity of specific transcription factors, such as MXI1, E2F1, ATF5, and ASCL1, and regulates the expression of cell cycle-associated genes along with related signaling pathways, like the Wnt/β-catenin axis. Moreover, it can interact with specific miRNAs, including miR-326, miR-141, miR-148b-3p, miR-15b, and miR-126-5p. Of importance, HOTAIR has been demonstrated to enhance angiogenesis and affect the permeability of the blood-tumor barrier, thus modulating the efficacy of chemotherapeutic agents. Herein, we provide evidence on the functional role of HOTAIR in gliomas and discuss the benefits of its targeting as a novel approach toward glioma treatment.
    Matched MeSH terms: Disease Susceptibility; Disease Management
Filters
Contact Us

Please provide feedback to Administrator (afdal@afpm.org.my)

External Links