Browse publications by year: 2021

  1. Mohd Khair SZN, Abd Radzak SM, Mohamed Yusoff AA
    Dis Markers, 2021;2021:7675269.
    PMID: 34326906 DOI: 10.1155/2021/7675269
    Cancer is a heterogeneous group of diseases, the progression of which demands an accumulation of genetic mutations and epigenetic alterations of the human nuclear genome or possibly in the mitochondrial genome as well. Despite modern diagnostic and therapeutic approaches to battle cancer, there are still serious concerns about the increase in death from cancer globally. Recently, a growing number of researchers have extensively focused on the burgeoning area of biomarkers development research, especially in noninvasive early cancer detection. Intergenomic cross talk has triggered researchers to expand their studies from nuclear genome-based cancer researches, shifting into the mitochondria-mediated associations with carcinogenesis. Thus, it leads to the discoveries of established and potential mitochondrial biomarkers with high specificity and sensitivity. The research field of mitochondrial DNA (mtDNA) biomarkers has the great potential to confer vast benefits for cancer therapeutics and patients in the future. This review seeks to summarize the comprehensive insights of nuclear genome cancer biomarkers and their usage in clinical practices, the intergenomic cross talk researches that linked mitochondrial dysfunction to carcinogenesis, and the current progress of mitochondrial cancer biomarker studies and development.
    MeSH terms: DNA, Mitochondrial/metabolism*; Humans; Neoplasms/metabolism*; Biomarkers, Tumor/metabolism*
  2. Lilach S, Hagai B, Zvi I, Hermona S, Wael M
    Am J Neurodegener Dis, 2021;10(3):28-33.
    PMID: 34327050
    The second most prevalent neurodegenerative disorder worldwide in the elderly is Parkinson's disease (PD). It is a major risk factor for aging. Objectives: Currently the involvement of miRNAs in the disease is mainly unclear. Additionally, the disease aetiology is complex and there are no available disease-modifying medications. Therefore, more evidence is required concerning its pathogenesis and developing new treatment modalities. Methods: Here, we studied the expression profiles of about 900 miRNAs in PD patients prior to and following deep brain stimulation (DBS) both on and following 1 hour off electrical stimulation and as compared with age and gender matched healthy control (HC) donor samples, using Affymetrix miRNA microarrays. We analysed statistically the data using Affymetrix expression console software. Results: We detected significantly altered miRNAs pre and post DBS treatment. Conclusions: Our findings indicate the involvement of miRNAs in PD. Future studies can enlarge the number of samples and use RNA sequencing platform to quantify further miRNAs in PD samples. We may also use the expression levels of miRNAs as biomarkers for PD in the blood.
  3. Ng HR, Chee SF, Chai KS, Chong MF, Mustapha M
    Cureus, 2021 Jun;13(6):e15846.
    PMID: 34327079 DOI: 10.7759/cureus.15846
    Purpose To describe the epidemiology of open globe injuries and its prognostic factors from the perspectives of a tertiary care centre in northern Malaysia. Methods A retrospective study of open globe injuries in a period of three years between June 2017 and May 2020. Patients presenting with open globe injuries were identified and recruited from hospital census. Case records were retrieved and analysed after recruitment. Results A total of 114 patients with 118 open globe injuries were included in the study. Four patients had bilateral eye involvement. Men were found to have seven and a half times higher rate of ocular injuries than women. The predominant age group of ocular trauma presentation was in younger adults between the age of 21 and 30 years old. Work-related injuries account for almost half of the globe injuries (48.7%) followed by motor vehicle accident-related, domestic accident-related, and others. The significant factors related to the visual outcome are presenting visual acuity (VA), presence of relative afferent pupillary defect (RAPD) and vitreous loss. Conclusion The factors related to visual outcomes in this study may aid the clinician in determining the visual prognosis of ocular injuries. Young working males were the most susceptible group to sustain penetrating ocular injuries due to their job nature. Health education and safety at workplace are essential to reduce the occurrence of ocular injuries.
  4. Cai CZ, Lin YL, Hu ZJ, Wong LP
    World J Psychiatry, 2021 Jul 19;11(7):337-346.
    PMID: 34327126 DOI: 10.5498/wjp.v11.i7.337
    The coronavirus disease-19 (COVID-19) pandemic has put healthcare workers in an unprecedented situation, increasing their psychological and mental health distress. Much research has focused on the issues surrounding anxiety, depression, and stress among healthcare workers. The consequences of mental health problems on healthcare workers' physical health, health-compromising behaviours, suicide ideation, family relationships, and job satisfaction during the COVID-19 pandemic are not well studied. Enhanced psychological stress has known effects on an individual's physical health. In healthcare workers with pre-existing comorbidities, psychological stressors may exacerbate their current health problems. Healthcare professionals are known to have a high risk of substance use, hence they may be at risk of development of substance use addiction or vulnerable to addiction relapse. Frontline COVID-19 healthcare workers are being pushed above and beyond their limits, possibly resulting in suicidal tendencies. Furthermore, the burden of high workload and burnout may also have serious manifestations in relationships with family and an intention to quit their jobs. Future studies should explore the above-mentioned deleterious consequences to provide insight into the development of mental healthcare strategies to combat the psychological impact of COVID-19 on healthcare workers during the COVID-19 emergency. It is imperative to employ strategies to care for and policies to protect the psychological well-being of healthcare workers.
  5. Karobari MI, Khijmatgar S, Bhandary R, Krishna Nayak US, Del Fabbro M, Horn R, et al.
    Biomed Res Int, 2021;2021:5599724.
    PMID: 34327231 DOI: 10.1155/2021/5599724
    OBJECTIVES: The objective of the study was to understand and analyze the prescription patterns of dentists across various demographic locations for managing oral infections and pain with antibiotics and explore the evidence-based practices by clinicians as well as the need for further education. Materials and methods. This cross-sectional study was carried out using an online questionnaire framed to explore the knowledge, attitude, and practices among dentists with varying levels of experience and qualifications, regarding antimicrobial prescription. The questions were validated from previous published studies that explored the knowledge, attitude, and practice (KAP) with respect to antimicrobial prescription. In total, N = 300 of dentists from four different countries responded to the online questionnaire out of which 53% were specialists while 47% were general dentists. After data collection, descriptive analysis was carried out along with a one-sided hypothesis test to depict the power of the sample.

    RESULTS: It was seen from the results of the study that the first-choice antibiotics for 67.8% of dentists were found to be the β-lactam group while sulfonamides and tetracyclines at 20% were the second most prescribed group. Another important finding was that 45.6% of dentists ignored hypersensitivity testing before prescription of antibiotics even though 83.3% of the total dentists interviewed were aware of the increase in antibiotic resistance.

    CONCLUSION: In conclusion, the dentists are partially aware of the guidelines but need further training and education on antimicrobial prescription that enables evidence-based decision-making for better practices and outcomes.

    MeSH terms: Anti-Bacterial Agents/pharmacology*; Anti-Bacterial Agents/therapeutic use; Demography*; Education, Continuing*; Education, Dental*; Humans; Pulpitis/drug therapy; Surveys and Questionnaires; Superinfection/drug therapy; Sample Size; Cultural Diversity*; Antibiotic Prophylaxis; Practice Patterns, Dentists'; Prescriptions*
  6. Yoon SE, Song Y, Kim SJ, Yoon DH, Chen TY, Koh Y, et al.
    Lancet Reg Health West Pac, 2021 May;10:100126.
    PMID: 34327343 DOI: 10.1016/j.lanwpc.2021.100126
    Background: Peripheral T-cell lymphomas (PTCLs) are uncommon and their frequency is regionally heterogeneous. Several studies have been conducted to evaluate the clinical features and treatment outcomes of this disease entity, but the majority of these were conducted in limited areas, making it difficult to comprehensively analyze their relative frequency and clinical features. Furthermore, no consensus treatment for PTCLs has been established. Therefore, we conducted an Asia-specific study to understand the relative frequency of PTCLs and assess treatments and their outcomes in Asian patients.

    Methods: We performed a multinational, multicenter, prospective registry of adult patients with PTCLs that was named as the International Cooperative non-Hodgkin T-cell lymphoma prospective registry study where thirty-two institutes from six Asian countries and territories (Korea, China, Taiwan, Singapore, Malaysia, and Indonesia) participated.

    Findings: A total of 486 patients were registered between April 2016 and February 2019, and more than a half of patients (57%) had stage III or IV. Extranodal natural killer (NK)/T- cell lymphoma was the most common subtype (n = 139,28.6%), followed by angioimmunoblastic T-cell lymphoma (AITL, n = 120,24.7%), PTCL-not otherwise specified (PTCL-NOS, n = 101,20.8%), ALK-positive anaplastic large cell lymphoma (ALCL, n = 34,6.9%), and ALK-negative ALCL (n = 30,6.2%). The median progression-free survival (PFS) and overall survival (OS) were 21.1 months (95% CI,10.6-31.6) and 83.6 months (95% CI, 56.7-110.5), respectively. Upfront use of combined treatment with chemotherapy and radiotherapy showed better PFS than chemotherapy alone in localized ENKTL whereas consolidation with upfront autologous stem cell transplantation (SCT) provided longer PFS in advance stage ENKTL. In patients with PTCLs other than ENKTL, anthracycline-containing chemotherapies were widely used, but the outcome of those regimens was not satisfactory, and upfront autologous SCT was not significantly associated with survival benefit, either. The treatment outcome of salvage chemotherapy was disappointing, and none of the salvage strategies showed superiority to one another.

    Interpretation: This multinational, multicenter study identified the relative frequency of each subtype of PTCLs across Asian countries, and the survival outcomes according to the therapeutic strategies currently used.

    Funding: Samsung Biomedical Research Institute.

  7. Yunus MA, Ramli MM, Osman NH, Mohamed R
    Arch Immunol Ther Exp (Warsz), 2021 Jul 29;69(1):20.
    PMID: 34327598 DOI: 10.1007/s00005-021-00625-6
    Sole nanomaterials or nanomaterials bound to specific biomolecules have been proposed to regulate the immune system. These materials have now emerged as new tools for eliciting immune-based therapies to treat various cancers. Graphene, graphene oxide (GO) and reduced GO (rGO) are the latest nanomaterials among other carbon nanotubes that have attracted wide interest among medical industry players due to their extraordinary properties, inert-state, non-toxic and stable dispersion in a various solvent. Currently, GO and rGO are utilized in various biomedical application including cancer immunotherapy. This review will highlight studies that have been carried out in elucidating the stimulation of GO and rGO on selected innate and adaptive immune cells and their effect on cancer progression to shed some insights for researchers in the development of various GO- and rGO-based immune therapies against various cancers.
    MeSH terms: Graphite*; Humans; Oxides; Nanotubes, Carbon*
  8. Chen J, Cheong HH, Siu SWI
    J Chem Inf Model, 2021 Aug 23;61(8):3789-3803.
    PMID: 34327990 DOI: 10.1021/acs.jcim.1c00181
    Cancer is one of the leading causes of death worldwide. Conventional cancer treatment relies on radiotherapy and chemotherapy, but both methods bring severe side effects to patients, as these therapies not only attack cancer cells but also damage normal cells. Anticancer peptides (ACPs) are a promising alternative as therapeutic agents that are efficient and selective against tumor cells. Here, we propose a deep learning method based on convolutional neural networks to predict biological activity (EC50, LC50, IC50, and LD50) against six tumor cells, including breast, colon, cervix, lung, skin, and prostate. We show that models derived with multitask learning achieve better performance than conventional single-task models. In repeated 5-fold cross validation using the CancerPPD data set, the best models with the applicability domain defined obtain an average mean squared error of 0.1758, Pearson's correlation coefficient of 0.8086, and Kendall's correlation coefficient of 0.6156. As a step toward model interpretability, we infer the contribution of each residue in the sequence to the predicted activity by means of feature importance weights derived from the convolutional layers of the model. The present method, referred to as xDeep-AcPEP, will help to identify effective ACPs in rational peptide design for therapeutic purposes. The data, script files for reproducing the experiments, and the final prediction models can be downloaded from http://github.com/chen709847237/xDeep-AcPEP. The web server to directly access this prediction method is at https://app.cbbio.online/acpep/home.
  9. Lohrey S, Chua M, Gros C, Faucet J, Lee JKW
    Sci Total Environ, 2021 Nov 10;794:148260.
    PMID: 34328123 DOI: 10.1016/j.scitotenv.2021.148260
    Extreme heat is an increasing climate threat, most pronounced in urban areas where poor populations are at particular risk. We analyzed heat impacts and vulnerabilities of 1027 outdoor workers who participated in a KAP survey in Hanoi, Vietnam in 2018, and the influence of their mitigation actions, their knowledge of heat-risks, and access to early warnings. We grouped respondents by their main income (vendors, builders, shippers, others, multiple jobs, and non-working) and analyzed their reported heat-health impacts, taking into consideration socioeconomics, knowledge of heat impacts and preventive measures, actions taken, access to air-conditioning, drinking amounts and use of weather forecasts. We applied linear and logistic regression analyses using R. Construction workers were younger and had less knowledge of heat-health impacts, but also reported fewer symptoms. Older females were more likely to report symptoms and visit a doctor. Access to air-conditioning in the bedroom depended on age and house ownership, but did not influence heat impacts as cooling was too expensive. Respondents who knew more heat exhaustion symptoms were more likely to report impacts (p < 0.01) or consult a doctor (p < 0.05). Similarly, those who checked weather updates were more likely to report heat impacts (p < 0.01) and experienced about 0.6 more symptoms (p < 0.01). Even though occupation type did not explain heat illness, builders knew considerably less (40%; p < 0.05) about heat than other groups but were twice as likely to consult a doctor than street vendors (p < 0.01). Knowledge of preventive actions and taking these actions both correlated positively with reporting of heat-health symptoms, while drinking water did not reduce these symptoms (p < 0.01). Child carers and homeowners experienced income losses in heatwaves (p < 0.01). The differences support directed actions, such as dissemination of educational materials and weather forecasts for construction workers. The Red Cross assisted all groups with cooling tents, provision of drinks and health advice.
    MeSH terms: Female; Hot Temperature; Humans; Male; Perception; Vietnam; Heat Stress Disorders*
  10. Ayaz M, Pasha MF, Alzahrani MY, Budiarto R, Stiawan D
    JMIR Med Inform, 2021 07 30;9(7):e21929.
    PMID: 34328424 DOI: 10.2196/21929
    BACKGROUND: Information technology has shifted paper-based documentation in the health care sector into a digital form, in which patient information is transferred electronically from one place to another. However, there remain challenges and issues to resolve in this domain owing to the lack of proper standards, the growth of new technologies (mobile devices, tablets, ubiquitous computing), and health care providers who are reluctant to share patient information. Therefore, a solid systematic literature review was performed to understand the use of this new technology in the health care sector. To the best of our knowledge, there is a lack of comprehensive systematic literature reviews that focus on Fast Health Interoperability Resources (FHIR)-based electronic health records (EHRs). In addition, FHIR is the latest standard, which is in an infancy stage of development. Therefore, this is a hot research topic with great potential for further research in this domain.

    OBJECTIVE: The main aim of this study was to explore and perform a systematic review of the literature related to FHIR, including the challenges, implementation, opportunities, and future FHIR applications.

    METHODS: In January 2020, we searched articles published from January 2012 to December 2019 via all major digital databases in the field of computer science and health care, including ACM, IEEE Explorer, Springer, Google Scholar, PubMed, and ScienceDirect. We identified 8181 scientific articles published in this field, 80 of which met our inclusion criteria for further consideration.

    RESULTS: The selected 80 scientific articles were reviewed systematically, and we identified open questions, challenges, implementation models, used resources, beneficiary applications, data migration approaches, and goals of FHIR.

    CONCLUSIONS: The literature analysis performed in this systematic review highlights the important role of FHIR in the health care domain in the near future.

  11. Oakley-Girvan I, Watterson JL, Jones C, Houghton LC, Gibbons MP, Gokal K, et al.
    JMIR Res Protoc, 2021 Jul 30;10(7):e28147.
    PMID: 34328445 DOI: 10.2196/28147
    BACKGROUND: Social cohesion is associated with healthier behaviors and better health outcomes, and therefore may offer a mechanism for promoting better health. Low socioeconomic status (SES) communities face higher rates of chronic disease due to both community- and individual-level factors.

    OBJECTIVE: The aim of this study is to leverage social cohesion to promote healthier behaviors and prevent chronic disease in a low SES community. This protocol outlines the methodology for a pilot study to assess the feasibility of an intervention (Free Time For Wellness [FT4W]) using a social networking platform (Nextdoor) with mothers living in an urban, low-income community to improve social cohesion and promote healthy behaviors.

    METHODS: The study will involve three phases: (I) co-designing the intervention with mothers in the neighborhoods of interest, (II) implementing the intervention with community leaders through the social networking platform, and (III) evaluating the intervention's feasibility. Phase I of the study will include qualitative data collection and analysis from in-depth, semistructured interviews and a co-design group session with mothers. Phases II and III of the study include a pre- and postintervention survey of participating mothers. Neighborhood-level data on social cohesion will also be collected to enable comparison of outcomes between neighborhoods with higher and lower baseline social cohesion.

    RESULTS: As of March 2021, recruitment and data collection for this study are complete. This protocol outlines our original study plan, although the final enrollment numbers and intervention implementation deviated from our initial planned methodology that is outlined in this protocol. These implementation learnings will be shared in subsequent publications of our study results.

    CONCLUSIONS: Ultimately, this study aims to: (1) determine the barriers and facilitators to finding free time for wellness among a population of low-income mothers to inform the co-design process, and (2) implement and study the feasibility of an intervention that leverages social cohesion to promote physical activity in a community of low-income mothers. The results of this study will provide preliminary feasibility evidence to inform a larger effectiveness trial, and will further our understanding of how social cohesion might influence well-being.

    INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR1-10.2196/28147.

  12. Tan ML, Gassman PW, Liang J, Haywood JM
    Sci Total Environ, 2021 Nov 15;795:148915.
    PMID: 34328938 DOI: 10.1016/j.scitotenv.2021.148915
    Alternative climate products, such as gauge-based gridded data, ground-based weather radar, satellite precipitation and climate reanalysis products, are being increasingly applied for hydrological modelling. This review aims to summarize the studies that have evaluated alternative climate products within Soil and Water Assessment Tool (SWAT) applications and to propose future research directions, primarily for modelers who wish to study limited gauge, ungauged or transnational river basins. A total of 126 articles have been identified since 2004, the majority of which have been published within the last five years. About 58% of the studies were conducted in Asia, mostly in China and India, while another 14% were reported for United States studies. CFSR and TRMM are the most popular applied products in SWAT modelling, followed by PERSIANN, CMADS, APHRODITE, CHIRPS and NEXRAD. Generally, the performance of climate products is region-dependent; e.g., CFSR typically performs well in the United States and South America, but performs more poorly for Asia, Africa and mountainous basin conditions, as compared to other products. In contrast, the CMADS, TRMM, APRHODITE and NEXRAD have shown the strongest capability for supporting SWAT modelling in these regions. However, most of the evaluated products contain only precipitation input; therefore, merging reliable precipitation with CFSR-temperature is recommended for hydro-climatic modelling. Future research directions include: (1) examination of optimal combinations; e.g. CHIRPS-precipitation and CFSR-temperature, for simulating streamflow in different types of river basins; (2) development of a standardized validation scheme which incorporates the commonly accepted products, statistical approaches and temperature variables; (3) further evaluation of existing climate data products to accurately capture extreme events, pattern and indices as well as WGEN statistics; (4) improvement of climate data in terms of averaging approach, bias correction and additional factors or indices integration; and (5) bias correction of CMIP6 climate projections using the optimal climate data combinations.
    MeSH terms: Models, Theoretical; Soil*; Water*; Rivers; Hydrology
  13. Khoo KS, Chia WY, Wang K, Chang CK, Leong HY, Maaris MNB, et al.
    Sci Total Environ, 2021 Nov 01;793:148705.
    PMID: 34328982 DOI: 10.1016/j.scitotenv.2021.148705
    Fuel cells (FCs) are a chemical fuel device which can directly convert chemical energy into electrical energy, also known as electrochemical generator. Proton exchange membrane fuel cells (PEMFCs) are one of the most appealing FC systems that have been broadly developed in recent years. Due to the poor conductivity of electrolyte membrane used in traditional PEMFC, its operation at higher temperature is greatly limited. The incorporation of ionic liquids (ILs) which is widely regarded as a greener alternative compared to traditional solvents in the proton exchange membrane electrolyte shows great potential in high temperature PEMFCs (HT-PEMFCs). This review provides insights in the latest progress of utilizing ILs as an electrochemical electrolyte in PEMFCs. Besides, electrolyte membranes that are constructed by ILs combined with polybenzimidazole (PBI) have many benefits such as better thermal stability, improved mechanical properties, and higher proton conductivity. The current review aims to investigate the newest development and existing issues of ILs research in electrolyte and material selection, system fabrication method, synthesis of ILs, and experimental techniques. The evaluation of life cycle analysis, commercialization, and greenness of ILs are also discussed. Hence, this review provides insights to material scientists and develops interest of wider community, promoting the use of ILs to meet energy challenges.
    MeSH terms: Electrolytes; Membranes, Artificial; Protons; Technology; Ionic Liquids*
  14. Goh MS, Lam SD, Yang Y, Naqiuddin M, Addis SNK, Yong WTL, et al.
    J Hazard Mater, 2021 10 15;420:126624.
    PMID: 34329083 DOI: 10.1016/j.jhazmat.2021.126624
    In agriculture, the convenience and efficacy of chemical pesticides have become inevitable to manage cultivated crop production. Here, we review the worldwide use of pesticides based on their categories, mode of actions and toxicity. Excessive use of pesticides may lead to hazardous pesticide residues in crops, causing adverse effects on human health and the environment. A wide range of high-tech-analytical methods are available to analyse pesticide residues. However, they are mostly time-consuming and inconvenient for on-site detection, calling for the development of biosensors that detect cellular changes in crops. Such new detection methods that combine biological and physicochemical knowledge may overcome the shortage in current farming to develop sustainable systems that support environmental and human health. This review also comprehensively compiles domestic pesticide residues removal tips from vegetables and fruits. Synthetic pesticide alternatives such as biopesticide and nanopesticide are greener to the environment. However, its safety assessment for large-scale application needs careful evaluation. Lastly, we strongly call for reversions of pesticide application trends based on the changing climate, which is lacking in the current scenario.
    MeSH terms: Agriculture; Fruit/chemistry; Vegetables/chemistry
  15. Shokravi H, Shokravi Z, Heidarrezaei M, Ong HC, Rahimian Koloor SS, Petrů M, et al.
    Chemosphere, 2021 Dec;285:131535.
    PMID: 34329137 DOI: 10.1016/j.chemosphere.2021.131535
    Genetic engineering applications in the field of biofuel are rapidly expanding due to their potential to boost biomass productivity while lowering its cost and enhancing its quality. Recently, fourth-generation biofuel (FGB), which is biofuel obtained from genetically modified (GM) algae biomass, has gained considerable attention from academic and industrial communities. However, replacing fossil resources with FGB is still beset with many challenges. Most notably, technical aspects of genetic modification operations need to be more fully articulated and elaborated. However, relatively little attention has been paid to GM algal biomass. There is a limited number of reviews on the progress and challenges faced in the algal genetics of FGB. Therefore, the present review aims to fill this gap in the literature by recapitulating the findings of recent studies and achievements on safe and efficient genetic manipulation in the production of FGB. Then, the essential issues and parameters related to genome editing in algal strains are highlighted. Finally, the main challenges to FGB pertaining to the diffusion risk and regulatory frameworks are addressed. This review concluded that the technical and biosafety aspects of FGB, as well as the complexity and diversity of the related regulations, legitimacy concerns, and health and environmental risks, are among the most important challenges that require a strong commitment at the national/international levels to reach a global consensus.
    MeSH terms: Genetic Engineering; Plants; Biomass; Biofuels*
  16. Yeong WC, Lee PY, Lim SL, Ng PS, Khaw KW
    PLoS One, 2021;16(7):e0255366.
    PMID: 34329357 DOI: 10.1371/journal.pone.0255366
    The side sensitive synthetic chart was proposed to improve the performance of the synthetic chart to monitor shifts in the coefficient of variation (γ), by incorporating the side sensitivity feature where successive non-conforming samples must fall on the same side of the control limits. The existing side sensitive synthetic- γ chart is only evaluated in terms of the average run length (ARL) and expected average run length (EARL). However, the run length distribution is skewed to the right, hence the actual performance of the chart may be frequently different from what is shown by the ARL and EARL. This paper evaluates the entire run length distribution by studying the percentiles of the run length distribution. It is shown that false alarms frequently happen much earlier than the in-control ARL (ARL0), and small shifts are often detected earlier compared to the ARL1. Subsequently, this paper proposes an alternative design based on the median run length (MRL) and expected median run length (EMRL). The optimal design based on the MRL shows smaller out-of-control MRL (MRL1), which shows a quicker detection of the out-of-control condition, compared to the existing design, while the results from the optimal design based on the EMRL is similar to that of the existing designs. Comparisons with the synthetic-γ chart without side sensitivity shows that side sensitivity reduces the median number of samples required to detect a shift and reduces the variability in the run length. Finally, the proposed designs are implemented on an actual industrial example.
    MeSH terms: Models, Theoretical*
  17. Burki TK
    Lancet Haematol, 2021 Aug;8(8):e551.
    PMID: 34329575 DOI: 10.1016/S2352-3026(21)00215-5
    MeSH terms: Artificial Intelligence; Diagnosis, Computer-Assisted; Genetic Testing; Hematologic Diseases/diagnosis; Hematologic Diseases/genetics; Hematologic Diseases/pathology*; Humans; Leukemia/diagnosis; Leukemia/genetics; Leukemia/pathology; Malaysia; Biomedical Research; History, 20th Century; History, 21st Century; Pathology, Molecular
  18. Singh OP, Vallejo M, El-Badawy IM, Aysha A, Madhanagopal J, Mohd Faudzi AA
    Comput Biol Med, 2021 Sep;136:104650.
    PMID: 34329865 DOI: 10.1016/j.compbiomed.2021.104650
    Due to the continued evolution of the SARS-CoV-2 pandemic, researchers worldwide are working to mitigate, suppress its spread, and better understand it by deploying digital signal processing (DSP) and machine learning approaches. This study presents an alignment-free approach to classify the SARS-CoV-2 using complementary DNA, which is DNA synthesized from the single-stranded RNA virus. Herein, a total of 1582 samples, with different lengths of genome sequences from different regions, were collected from various data sources and divided into a SARS-CoV-2 and a non-SARS-CoV-2 group. We extracted eight biomarkers based on three-base periodicity, using DSP techniques, and ranked those based on a filter-based feature selection. The ranked biomarkers were fed into k-nearest neighbor, support vector machines, decision trees, and random forest classifiers for the classification of SARS-CoV-2 from other coronaviruses. The training dataset was used to test the performance of the classifiers based on accuracy and F-measure via 10-fold cross-validation. Kappa-scores were estimated to check the influence of unbalanced data. Further, 10 × 10 cross-validation paired t-test was utilized to test the best model with unseen data. Random forest was elected as the best model, differentiating the SARS-CoV-2 coronavirus from other coronaviruses and a control a group with an accuracy of 97.4 %, sensitivity of 96.2 %, and specificity of 98.2 %, when tested with unseen samples. Moreover, the proposed algorithm was computationally efficient, taking only 0.31 s to compute the genome biomarkers, outperforming previous studies.
    MeSH terms: Machine Learning; Algorithms; Humans; Pandemics
  19. Zaman K, Rahim F, Taha M, Sajid M, Hayat S, Nawaz M, et al.
    Bioorg Chem, 2021 10;115:105199.
    PMID: 34329995 DOI: 10.1016/j.bioorg.2021.105199
    Synthesis of quinoline analogs and their urease inhibitory activities with reference to the standard drug, thiourea (IC50 = 21.86 ± 0.40 µM) are presented in this study. The inhibitory activity range is (IC50 = 0.60 ± 0.01 to 24.10 ± 0.70 µM) which displayed that it is most potent class of urease inhibitor. Analog 1-9, and 11-13 emerged with many times greater antiurease potential than thiourea, in which analog 1, 2, 3, 4, 8, 9, and 11 (IC50 = 3.50 ± 0.10, 7.20 ± 0.20, 1.30 ± 0.10, 2.30 ± 0.10, 0.60 ± 0.01, 1.05 ± 0.10 and 2.60 ± 0.10 µM respectively) were appeared the most potent ones among the series. In this context, most potent analogs such as 1, 3, 4, 8, and 9 were further subjected for their in vitro antinematodal study against C. elegans to examine its cytotoxicity under positive control of standard drug, Levamisole. Consequently, the cytotoxicity profile displayed that analogs 3, 8, and 9 were found with minimum cytotoxic outline at higher concentration (500 µg/mL). All analogs were characterized through 1H NMR, 13C NMR and HR-EIMS. The protein-ligand binding interaction for most potent analogs was confirmed via molecular docking study.
    MeSH terms: Animals; Antinematodal Agents/chemical synthesis; Antinematodal Agents/pharmacology*; Antinematodal Agents/chemistry; Dose-Response Relationship, Drug; Enzyme Inhibitors/chemical synthesis; Enzyme Inhibitors/pharmacology*; Enzyme Inhibitors/chemistry; Humans; Quinolines/chemical synthesis; Quinolines/pharmacology*; Quinolines/chemistry; Structure-Activity Relationship; Urease/antagonists & inhibitors*; Urease/metabolism; Molecular Structure; Caenorhabditis elegans/drug effects*; Molecular Docking Simulation
  20. Pg Baharuddin DM, Leik NKO, Hayati F, Mohd Daud MN, See E, Sharif SZ, et al.
    Int J Surg Case Rep, 2021 Aug;85:106235.
    PMID: 34330067 DOI: 10.1016/j.ijscr.2021.106235
    INTRODUCTION: Obesity has been proven to have adverse effects on fertility and is one of the predisposing factors for delay in pregnancy even with the use of assisted reproductive technique. There are many pathways in which obesity can affect fertility such as anovulation, poor implantation and low-quality oocyte.

    CASE PRESENTATION: We report a case of a 40-year-old lady with primary infertility for six years with underlying polycystic ovary syndrome (PCOS) and BMI 45.7 whom was successfully conceived twice following bariatric surgery procedure in which reduction of 70% of her BMI prior to bariatric surgery lead to her spontaneous conception without fertility intervention and successful live birth.

    CLINICAL DISCUSSION: Obese PCOS needs multidisciplinary approaches which include weight loss program such as dietary advice, exercise intervention as part of preliminary treatment prior to ovulation induction and counselling.

    CONCLUSION: Bariatric surgery has been a mainstay treatment in patients with morbid obesity and those with BMI more than 35 associated with obesity related problems such as joint pain, hypertension or diabetes mellitus. Bariatric surgery such as laparoscopic sleeve gastrectomy should be considered more often in contrast to lifestyle modification for morbidly obese lady with PCOS and infertility prior to the use of standard ovulation induction regime for treating infertility.

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