Browse publications by year: 2021

  1. Islam MK, Stanslas J
    Pharmacol Ther, 2021 11;227:107870.
    PMID: 33895183 DOI: 10.1016/j.pharmthera.2021.107870
    Cancer immunotherapy is an option to enhance physiological defence mechanism to fight cancer, where natural substances (e.g., antigen/antibody) or small synthetic molecule can be utilized to improve and restore the immune system to stop or slacken the development of malignant cells, stop metastasis and/or help the immune response with synthetic monoclonal antibodies (mAbs) and tumour-agnostic therapy to eliminate cancer cells. Interaction between the programmed cell death ligand 1 (PD-L1) and its receptor (programmed cell death protein 1, PD-1), and cytotoxic T-lymphocyte-associated protein 4 (CTLA4) linked signalling pathways have been identified as perilous towards the body's immune mechanism in regulating the progression of cancer. It is known that certain cancers use these pathways to evade the body's defence mechanism. The immune system is capable of responding to cancer by stalling these trails with specific synthetic antibodies or immune checkpoint inhibitors, which can ultimately either stop or slow cancer cell development. Recent findings and data suggested that using such inhibitors invigorated a new approach to cancer treatment. These inhibitors usually activate the immune system to identify and eliminate cancer cells rather than attacking tumour cells directly. PD-1/PD-L1 inhibitors have already been substantiated for their efficacy in over twenty variations of cancer through different clinical trials. Studies on molecular interaction with existing PD-1/PD-L1 inhibitors that are mainly dominated by antibodies are constantly generating new ideas to develop novel inhibitors. This review has summarised information on reported and/or patented small molecules and peptides for their ability to interact with the PD-1/PD-L1 as a potential anticancer strategy.
    MeSH terms: Humans
  2. Bristy MS, Sarker KK, Baki MA, Quraishi SB, Hossain MM, Islam A, et al.
    Environ Toxicol Pharmacol, 2021 Aug;86:103666.
    PMID: 33895355 DOI: 10.1016/j.etap.2021.103666
    Metal contaminations in commercial fish have become a great public health concern worldwide including Bangladesh. The current study was conducted to provide preliminary evidence of nine metals in three commercially significant fish namely Pampus argenteus, Sardinella longiceps and Tenualosa ilisha collected from four coastal stations- Kuakata, Pathorghata, Cox's Bazar, and Pirojpur, and eight stations of five rivers- Padma, Meghna, Jamuna, Katcha, and Nobogonga in Bangladesh. High magnitudes of Pb (0.74-4.59 mg/kg ww), Cd (0.07-0.24 mg/kg ww), and Mn (0.45-2.03 mg/kg ww) were recorded in the sampling stations that exceeded the maximum permissible limits (MPL) proposed by different recognized organizations. Significant mean differences of metal concentrations were observed (p 
    MeSH terms: Adult; Animals; Arsenic/analysis*; Arsenic/toxicity; Bangladesh; Fishes*; Food Contamination/analysis*; Humans; Seawater; Water Pollutants, Chemical/analysis*; Water Pollutants, Chemical/toxicity; Risk Assessment; Metals, Heavy/analysis*; Metals, Heavy/toxicity; Rivers; Chemically-Induced Disorders
  3. Thakur AK, Sathyamurthy R, Velraj R, Lynch I, Saidur R, Pandey AK, et al.
    J Environ Manage, 2021 Jul 15;290:112668.
    PMID: 33895445 DOI: 10.1016/j.jenvman.2021.112668
    The SARS-CoV-2 virus has spread globally and has severely impacted public health and the economy. Hand hygiene, social distancing, and the usage of personal protective equipment are considered the most vital tools in controlling the primary transmission of the virus. Converging evidence indicated the presence of SARS-CoV-2 in wastewater and its persistence over several days, which may create secondary transmission of the virus via waterborne and wastewater pathways. Although, researchers have started focusing on this mode of virus transmission, limited knowledge and societal unawareness of the transmission through wastewater may lead to significant increases in the number of positive cases. To emphasize the severe issue of virus transmission through wastewater and create societal awareness, we present a state of the art critical review on transmission of SARS-CoV-2 in wastewater and the potential remedial strategies to effectively control the viral spread and safeguard society. For low-income countries with high population densities, it is suggested to identify the virus in large scale municipal wastewater plants before following up with one-to-one testing for effective control of the secondary transmission. Ultrafiltration is an effective method for wastewater treatment and usually more than 4 logs of virus removal are achieved while safeguarding good protein permeability. Decentralized wastewater treatment facilities using solar-assisted disinfestation methods are most economical and can be effectively used in hospitals, isolation wards, and medical centers for reducing the risk of transmission from high local concentration sites, especially in tropical countries with abundant solar energy. Disinfection with chlorine, sodium hypochlorite, benzalkonium chloride, and peracetic acid have shown potential in terms of virucidal properties. Biological wastewater treatment using micro-algae will be highly effective in removal of virus and can be incorporated into membrane bio-reaction to achieve excellent virus removal rate. Though promising results have been shown by initial research for inactivation of SARS-CoV-2 in wastewater using physical, chemical and biological based treatment methods, there is a pressing need for extensive investigation of COVID-19 specific disinfectants with appropriate concentrations, their environmental implications, and regular monitoring of transmission. Effective wastewater treatment methods with high virus removal capacity and low treatment costs should be selected to control the virus spread and safeguard society from this deadly virus.
    MeSH terms: Humans; Water Purification*; Pandemics; Waste Water
  4. Ng CH, Tan TH, Tioh NH, Seng HL, Ahmad M, Ng SW, et al.
    J Inorg Biochem, 2021 07;220:111453.
    PMID: 33895694 DOI: 10.1016/j.jinorgbio.2021.111453
    The cobalt(II), copper(II) and zinc(II) complexes of 1,10-phenanthroline (phen) and maltol (mal) (complexes 1, 2, 3 respectively) were prepared from their respective metal(II) chlorides and were characterized by FT-IR, elemental analysis, UV spectroscopy, molar conductivity, p-nitrosodimethylaniline assay and mass spectrometry. The X-ray structure of a single crystal of the zinc(II) analogue reveals a square pyramidal structure with distinctly shorter apical chloride bond. All complexes were evaluated for their anticancer property on breast cancer cell lines MCF-7 and MDA-MB-231, and normal cell line MCF-10A, using (3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide assay and morphological studies. Complex 2 was most potent for 24, 48 and 72 h treatment of cancer cells but it was not selective towards cancer over normal cells. The mechanistic studies of the cobalt(II) complex 1 involved apoptosis assay, cell cycle analysis, dichloro-dihydro-fluorescein diacetate assay, intracellular reactive oxygen species assay and proteasome inhibition assay. Complex 1 induced low apoptosis, generated low level of ROS and did not inhibit proteasome in normal cells. The study of the DNA binding and nucleolytic properties of complexes 1-3 in the absence or presence of H2O2 or sodium ascorbate revealed that only complex 1 was not nucleolytic.
    MeSH terms: Antineoplastic Agents/chemical synthesis; Antineoplastic Agents/pharmacology*; Cobalt/chemistry; Copper/chemistry; DNA/drug effects; DNA Damage/drug effects; Drug Screening Assays, Antitumor; Humans; Phenanthrolines/chemical synthesis; Phenanthrolines/pharmacology*; Pyrones/chemical synthesis; Pyrones/pharmacology*; Zinc/chemistry; Apoptosis/drug effects; Reactive Oxygen Species/metabolism; Cell Line, Tumor; Coordination Complexes/chemical synthesis; Coordination Complexes/pharmacology*; G1 Phase Cell Cycle Checkpoints/drug effects; Proteasome Inhibitors/chemical synthesis; Proteasome Inhibitors/pharmacology
  5. Rudyk IS, Medentseva OO, Gasanov IC, Babichev DP
    Pol Merkur Lekarski, 2021 Apr 18;49(290):95-98.
    PMID: 33895752
    Heart failure (HF) despite the progress in treatment remains the main health problem worldwide. Biomarker ST2 is currently being studied in patients with HF due to its high potential predictive value and promising prospects for use as a component of biomarker-controlled therapy. The factors that can impact on the ST2 biomarker level in diabetic patients with heart failure with preserved ejection fraction (HFpEF) are still not well known.

    AIM: The aim of the study was to determine the influence of various risk factors on ST2 levels in patients with HFpEF and diabetes mellitus type 2 (T2DM).

    MATERIALS AND METHODS: A total of one hundred and thirty-four patients (74 females and 60 males, 51 diabetic patients and 83 patients without T2DM with HFpEF were examined. Duration of HF and T2DM, common risk factors, such as smoking, overweight, clinical examination, parameters of carbohydrate and lipid metabolism, glomerular filtration rate (GFR) and M235T polymorphism of ATG have been used. Multivariate backward stepwise cox regression analysis was performed in Statistica 10,0. p<0,05 was considered statistically significant.

    RESULTS: ST2 level in patients with HFpEF associated with T2DM exceeded this value in patients with HFpEF without T2DM and was 23.26 ng/ml (18.5: 29.3) vs. 20.39 ng/ml (18.3: 24.6), respectively (p<0,05). To assess the cumulative effect of the studied factors on the ST2 level, we performed the Cox's stepwise multivariate regression analysis. Smoking, HOMA-IR (Homeostatic Model Assessment for Insulin Resistance), glucose, HbA1 and insulin levels were found to be the most significant factors influencing ST2 levels in patients with HF and T2DM, indicating a significant effect of DM type 2 on ST2 concentration.

    CONCLUSIONS: Smoking, HOMA-IR, glucose, HbA1, and insulin levels can significantly affect ST2 levels in patients with T2DM and HFpEF.

    MeSH terms: Female; Heart Failure*; Humans; Male; Risk Factors; Stroke Volume; Biomarkers
  6. Yang Q, Ge YM, Iqbal NM, Yang X, Zhang XL
    Antonie Van Leeuwenhoek, 2021 Jul;114(7):1091-1106.
    PMID: 33895907 DOI: 10.1007/s10482-021-01580-0
    Marine phycosphere harbors unique cross-kingdom associations with enormous ecological significance in aquatic ecosystems as well as relevance for algal biotechnology industry. During our investigating the microbial composition and bioactivity of marine phycosphere microbiota (PM), a novel lightly yellowish and versatile bacterium designated strain AM1-D1T was isolated from cultivable PM of marine dinoflagellate Alexandrium minutum amtk4 that produces high levels of paralytic shellfish poisoning toxins (PSTs). Strain AM1-D1T demonstrates notable bioflocculanting bioactivity with bacterial exopolysaccharides (EPS), and microalgae growth-promoting (MGP) potential toward its algal host. Phylogenetic analysis based on 16S rRNA gene sequences revealed that strain AM1-D1T was affiliated to the members of genus Sulfitobacter within the family Rhodobacteraceae, showing the highest sequence similarity of 97.9% with Sulfitobacter noctilucae NB-68T, and below 97.8% with other type strains. The complete genome of strain AM1-D1T consisted of a circular 3.84-Mb chromosome and five circular plasmids (185, 95, 15, 205 and 348 Kb, respectively) with the G+C content of 64.6%. Low values obtained by phylogenomic calculations on the average nucleotide identity (ANI, 77.2%), average amino acid identity (AAI, 74.7%) and digital DNA-DNA hybridization (dDDH, 18.6%) unequivocally separated strain AM1-D1T from its closest relative. The main polar lipids were identified as phosphatidylglycerol, phosphatidylethanolamine, phosphatidylcholine, diphosphatidylglycerol, one unidentified phospholipid and one unidentified lipid. The predominant fatty acids (> 10%) were C18:1 ω7c, C19:0 cyclo ω8c and C16:0. The respiratory quinone was Q-10. The genome of strain AM1-D1T was predicted to encode series of gene clusters responsible for sulfur oxidation (sox) and utilization of dissolved organic sulfur exometabolites from marine dinoflagellates, taurine (tau) and dimethylsulfoniopropionate (DMSP) (dmd), as well as supplementary vitamin B12 (cob), photosynthesis carotenoids (crt) which are pivotal components during algae-bacteria interactions. Based on the evidences by the polyphasic characterizations, strain AM1-D1T represents a novel species of the genus Sulfitobacter, for which the name Sulfitobacter alexandrii sp. nov. is proposed. The type strain is AM1-D1T (= CCTCC 2017277T = KCTC 62491T).
    MeSH terms: DNA, Bacterial; Fatty Acids/analysis; Phospholipids; Phylogeny; RNA, Ribosomal, 16S/genetics; Bacterial Typing Techniques; Sequence Analysis, DNA; Microalgae*; Microbiota*
  7. Kumar R, Khan FU, Sharma A, Siddiqui MH, Aziz IB, Kamal MA, et al.
    Environ Sci Pollut Res Int, 2021 Sep;28(34):47641-47650.
    PMID: 33895950 DOI: 10.1007/s11356-021-14028-9
    We are exposed to various chemical compounds present in the environment, cosmetics, and drugs almost every day. Mutagenicity is a valuable property that plays a significant role in establishing a chemical compound's safety. Exposure and handling of mutagenic chemicals in the environment pose a high health risk; therefore, identification and screening of these chemicals are essential. Considering the time constraints and the pressure to avoid laboratory animals' use, the shift to alternative methodologies that can establish a rapid and cost-effective detection without undue over-conservation seems critical. In this regard, computational detection and identification of the mutagens in environmental samples like drugs, pesticides, dyes, reagents, wastewater, cosmetics, and other substances is vital. From the last two decades, there have been numerous efforts to develop the prediction models for mutagenicity, and by far, machine learning methods have demonstrated some noteworthy performance and reliability. However, the accuracy of such prediction models has always been one of the major concerns for the researchers working in this area. The mutagenicity prediction models were developed using deep neural network (DNN), support vector machine, k-nearest neighbor, and random forest. The developed classifiers were based on 3039 compounds and validated on 1014 compounds; each of them encoded with 1597 molecular feature vectors. DNN-based prediction model yielded highest prediction accuracy of 92.95% and 83.81% with the training and test data, respectively. The area under the receiver's operating curve and precision-recall curve values were found to be 0.894 and 0.838, respectively. The DNN-based classifier not only fits the data with better performance as compared to traditional machine learning algorithms, viz., support vector machine, k-nearest neighbor, and random forest (with and without feature reduction) but also yields better performance metrics. In current work, we propose a DNN-based model to predict mutagenicity of compounds.
    MeSH terms: Machine Learning; Animals; Reproducibility of Results; Neural Networks (Computer)*; Support Vector Machine
  8. Tang YW, Teoh SL, Yeo JHH, Ngim CF, Lai NM, Durrant SJ, et al.
    Behav Sleep Med, 2021 Apr 25.
    PMID: 33896299 DOI: 10.1080/15402002.2021.1915787
    Background: Listening to music is often used as a self-help intervention to improve sleep quality, but its efficacy among individuals without sleep disorder remains unclear.Methods: A search was performed on five databases to identify for studies that examined the use of music-based intervention to improve sleep quality among individuals without sleep disorder. Random-effects meta-analysis was performed, and the certainty of evidence was evaluated using GRADE (Grading of Recommendations Assessment, Development and Evaluation).Results: Twenty-two articles which recruited 1,514 participants were included for review. Meta-analysis of six studies including 424 participants did not find an improvement in sleep quality among recipients of music-based intervention compared to those with standard care (mean difference: -0.80; 95% CI: -2.15 to 0.54, low-quality evidence). Subgroup analysis showed a clear improvement in sleep quality when interventions were administered for at least 3 weeks (-2.09; -3.84 to -0.34, n = 3). No difference in terms of sleep onset latency (standardized mean difference (SMD) -0.32; 95% CI -0.88 to 0.25, n = 4, very-low quality evidence) and sleep efficiency (SMD: -0.59; 95% CI -3.15 to 1.97, n = 2, very-low quality evidence) were observed. The effect of music-based intervention on anxiety, depression and quality of life were mixed with suggestions of possible benefits.Conclusion: Music-based intervention in addition to standard care appears to be a promising strategy to improve sleep quality when delivered for 3 week or longer. However, effects are inconsistent across studies and larger randomized controlled studies reporting long-term outcomes are needed before it can be recommended for routine use.PROSPERO registration: CRD42018081193.
    MeSH terms: Anxiety; Anxiety Disorders; Depression; Humans; Music; Quality of Life; Reference Standards; Sleep Wake Disorders
  9. Chen IHK, Remli R, Azman M, Ubaidah MA, Mohamed AS, Baki MM
    Auris Nasus Larynx, 2021 Dec;48(6):1140-1149.
    PMID: 33896673 DOI: 10.1016/j.anl.2021.03.028
    OBJECTIVE: Laryngeal electromyography (LEMG) is used to confirm neuropathy; traditionally, it is evaluated qualitatively. This study aimed to develop normative values for the thyroarytenoid-lateral cricoarytenoid (TA-LCA) muscle complex by determining the mean turns (MT) and mean amplitudes (MA) using the opposite normal mobile vocal fold in unilateral vocal fold paralysis (VFP). This study also compared the MT and MA of the paralyzed vocal fold with that of the normal side and analyzed their correlations.

    METHODS: This is a cross-sectional study in which 77 patients (18 males, 59 females, mean age of 48) with unilateral VFP with an opposite normal mobile vocal fold underwent LEMG with a standardized protocol. Koufman gradings and MT and MA were used for the qualitative and quantitative evaluations. Mann-Whitney U test was performed to compare the median of the turns and amplitudes between the opposite normal mobile vocal fold and the paralyzed side. A linear-scale graphical "cloud" of the normal TA-LCA muscle complex was generated using logarithmic regression analysis. The qualitative and quantitative parameters were analyzed using multiple analysis of variance and Kruskall-Wallis test. Post-hoc analysis was performed to further determine the differences of the significance between both parameters. The correlation between the qualitative and quantitative parameters was analyzed using Spearman correlation.

    RESULTS: The MT and MA were significantly higher for the normal TA-LCA muscle complex than the paralyzed side (582 vs. 336; 412 vs. 296, respectively) and the median of the turns and amplitudes were significantly lower in the paralyzed side with p-values <0.001. A significant difference was observed between the Koufman grading and the combination of MT and MA [F (8,144) = 73.254] and between the Koufman grading and MT and MA individually [H (4, 72) = 18.3 and H (4, 72) =33.4], in which both had p-values <0.001. A moderate negative linear relationship was seen between the Koufman grading and MT and MA. On further analysis, it was revealed that only certain pairs of Koufman grading were statistical significant.

    CONCLUSIONS: This study was the first to present the quantitative normative values and "cloud" of the TA-LCA muscle complex using the opposite normal mobile vocal fold in patients with unilateral VFP in which it is comparable to healthy controls. We concluded that quantitative LEMG supports the qualitative Koufman grading method however it cannot be used independently to determine the severity of neuropathy.

    MeSH terms: Adolescent; Adult; Aged; Analysis of Variance; Cross-Sectional Studies; Electromyography/methods*; Female; Humans; Laryngeal Muscles/physiology*; Male; Middle Aged; Reference Values; Vocal Cord Paralysis/diagnosis; Vocal Cord Paralysis/physiopathology*; Vocal Cords/physiology*
  10. von Seth J, Dussex N, Díez-Del-Molino D, van der Valk T, Kutschera VE, Kierczak M, et al.
    Nat Commun, 2021 Apr 26;12(1):2393.
    PMID: 33896938 DOI: 10.1038/s41467-021-22386-8
    Small populations are often exposed to high inbreeding and mutational load that can increase the risk of extinction. The Sumatran rhinoceros was widespread in Southeast Asia, but is now restricted to small and isolated populations on Sumatra and Borneo, and most likely extinct on the Malay Peninsula. Here, we analyse 5 historical and 16 modern genomes from these populations to investigate the genomic consequences of the recent decline, such as increased inbreeding and mutational load. We find that the Malay Peninsula population experienced increased inbreeding shortly before extirpation, which possibly was accompanied by purging. The populations on Sumatra and Borneo instead show low inbreeding, but high mutational load. The currently small population sizes may thus in the near future lead to inbreeding depression. Moreover, we find little evidence for differences in local adaptation among populations, suggesting that future inbreeding depression could potentially be mitigated by assisted gene flow among populations.
    MeSH terms: Animals; Borneo; Conservation of Natural Resources*; Female; Inbreeding; Indonesia; Male; Mutation; Perissodactyla/genetics*; Population Density; Selection, Genetic; Genetic Variation; Genome; History, 21st Century; History, Ancient; Gene Flow
  11. Asghar MA, Khan MJ, Rizwan M, Shorfuzzaman M, Mehmood RM
    Multimed Syst, 2021 Apr 21.
    PMID: 33897112 DOI: 10.1007/s00530-021-00782-w
    Classification of human emotions based on electroencephalography (EEG) is a very popular topic nowadays in the provision of human health care and well-being. Fast and effective emotion recognition can play an important role in understanding a patient's emotions and in monitoring stress levels in real-time. Due to the noisy and non-linear nature of the EEG signal, it is still difficult to understand emotions and can generate large feature vectors. In this article, we have proposed an efficient spatial feature extraction and feature selection method with a short processing time. The raw EEG signal is first divided into a smaller set of eigenmode functions called (IMF) using the empirical model-based decomposition proposed in our work, known as intensive multivariate empirical mode decomposition (iMEMD). The Spatio-temporal analysis is performed with Complex Continuous Wavelet Transform (CCWT) to collect all the information in the time and frequency domains. The multiple model extraction method uses three deep neural networks (DNNs) to extract features and dissect them together to have a combined feature vector. To overcome the computational curse, we propose a method of differential entropy and mutual information, which further reduces feature size by selecting high-quality features and pooling the k-means results to produce less dimensional qualitative feature vectors. The system seems complex, but once the network is trained with this model, real-time application testing and validation with good classification performance is fast. The proposed method for selecting attributes for benchmarking is validated with two publicly available data sets, SEED, and DEAP. This method is less expensive to calculate than more modern sentiment recognition methods, provides real-time sentiment analysis, and offers good classification accuracy.
    MeSH terms: Delivery of Health Care; Electroencephalography; Emotions; Humans; Entropy; Benchmarking; Wavelet Analysis; Spatio-Temporal Analysis
  12. Menhat M, Mohd Zaideen IM, Yusuf Y, Salleh NHM, Zamri MA, Jeevan J
    Ocean Coast Manag, 2021 Aug 01;209:105638.
    PMID: 33897122 DOI: 10.1016/j.ocecoaman.2021.105638
    The coronavirus disease 2019 or Covid-19 pandemic has affected many operations worldwide. This predicament also owes to the lockdown measures imposed by the affected countries. The total lockdown or partial lockdown devised by countries all over the world meant that most economic activities, be put on hold until the outbreak is contained. The decisions made by authorities of each affected country differs according to various factors, including the country's financial stability. This paper reviews the impact of Covid-19 pandemic on maritime sectors, specifically shipping, fisheries, maritime tourism, and oil and gas sector. The period of this study covers economic activities between the month of January towards the end of July 2020. Also discussed in this journal, is the analysis of the potential post-outbreak situation and the economic stimulus package. This paper serves as a reference for future research on this topic.
  13. Anthonysamy L
    Educ Inf Technol (Dordr), 2021;26(6):6881-6899.
    PMID: 33897268 DOI: 10.1007/s10639-021-10518-y
    The primary objective of this study is to evaluate the relationship between the use of metacognitive strategies and learning performance in online learning among university students. The global lockdown due to the Covid-19 global pandemic outbreak has resulted in major interruptions in students' learning and education at all levels around the world. One of the consequences of university closures is that students suddenly find themselves having a lot more responsibility for their learning. Surprisingly, many students are not fully equipped with the relevant skills to excel in online learning despite being born into technology. Students are not aware of how to look inward to examine how they learn and to judge which methods are effective especially when faced with new forms of learning online because they lack metacognitive skills. Metacognition is crucial to the talent of learning. Although many researchers affirmed that metacognitive skills are crucial in any learning, a study on the impact of the use of metacognitive strategies on learning performance is still rudimentary. The study was carried out with 770 university IT students who have taken at least one online learning course. Data was collected using a self-administered instrument that was adapted from multiple sources. Three hypotheses were formulated and structural equation modeling was employed to conduct path modeling analysis. The findings from this study affirmed that students who use metacognitive strategies in online learning are indeed capable of evaluating their understanding of the course content and are capable of adding more effort in regulating their learning process. In view of the findings, this study will be useful for course instructors and students to establish practices on how to utilise metacognitive strategies to enhance students' learning performance as those lacking in metacognition may find themselves at a huge disadvantage.
  14. Wan Yusoff WR, Hanafi MH, Ibrahim AH, Kassim NK, Suhaimi A
    J Taibah Univ Med Sci, 2021 Apr;16(2):288-291.
    PMID: 33897336 DOI: 10.1016/j.jtumed.2020.12.003
    Alien hand syndrome (AHS) is a rare post-stroke complication. Although the occurrence of AHS after stroke is rare, it can have a disabling impact on the lifestyle and career of the patients post stroke. It is difficult to distinguish AHS from the non-dominant hemispheric infarction with symptoms of hemianopia and left hemineglect, as patients with AHS can also have neglect as well as behaviour symptoms if the frontal lobe is involved. We report the case of a 62-year-old gentleman who was admitted to the rehabilitation ward and was treated for neglect and apraxia following right middle cerebral artery stroke. After further re-evaluation, the patient was diagnosed with AHS. Functionally, he improved and the symptoms disappeared four months after the stroke. In this case report, we highlight the features of AHS and provide a unique management approach.
    MeSH terms: Agnosia; Apraxias; Frontal Lobe; Hand; Hemianopsia; Humans; Life Style; Male; Middle Aged; Infarction, Middle Cerebral Artery; Alien Hand Syndrome
  15. Woon LS, Mansor NS, Mohamad MA, Teoh SH, Leong Bin Abdullah MFI
    Front Psychol, 2021;12:652326.
    PMID: 33897561 DOI: 10.3389/fpsyg.2021.652326
    Although healthcare workers play a crucial role in helping curb the hazardous health impact of coronavirus disease 2019 (COVID-19), their lives and major functioning have been greatly affected by the pandemic. This study examined the effects of the COVID-19 pandemic on the quality of life (QoL) of Malaysian healthcare workers and its predictive factors. An online sample of 389 university-based healthcare workers completed questionnaires on demographics, clinical features, COVID-19-related stressors, psychological experiences, and perceived social support after the movement lockdown was lifted. All domains of QoL were within the norms of the general population except for social relationship QoL, which was lower than the norm. Multiple linear regression analysis indicated that COVID-19-related stressors (e.g., stress due to annual leave being frozen, loss of daily routine, and frequent exposure to COVID-19 patients) and psychological sequelae (e.g., greater severity of depression, anxiety, and stress) predicted lower QoL. Conversely, greater perceived social support from friends and significant others predicted higher QoL. Clinical and demographic characteristics predicted QoL to a lesser extent: A history of pre-existing medical illness was associated only with lower physical health QoL, whereas older age and being single, divorced, or widowed were only predictive of higher environmental QoL. Efforts to enhance QoL among healthcare workers in response to the pandemic should focus on mitigating COVID-19-related stressors and psychological sequelae and facilitating social support.
    MeSH terms: Aged; Anxiety; Anxiety Disorders; Communicable Disease Control; Depression; Divorce; Female; Health Personnel; Humans; Interpersonal Relations; Quality of Life; Surveys and Questionnaires; Regression Analysis; Social Support; Stress, Psychological; Universities; Widowhood; Coronavirus; Friends; Pandemics
  16. Chowdhury MEH, Rahman T, Khandakar A, Al-Madeed S, Zughaier SM, Doi SAR, et al.
    Cognit Comput, 2021 Apr 21.
    PMID: 33897907 DOI: 10.1007/s12559-020-09812-7
    COVID-19 pandemic has created an extreme pressure on the global healthcare services. Fast, reliable, and early clinical assessment of the severity of the disease can help in allocating and prioritizing resources to reduce mortality. In order to study the important blood biomarkers for predicting disease mortality, a retrospective study was conducted on a dataset made public by Yan et al. in [1] of 375 COVID-19 positive patients admitted to Tongji Hospital (China) from January 10 to February 18, 2020. Demographic and clinical characteristics and patient outcomes were investigated using machine learning tools to identify key biomarkers to predict the mortality of individual patient. A nomogram was developed for predicting the mortality risk among COVID-19 patients. Lactate dehydrogenase, neutrophils (%), lymphocyte (%), high-sensitivity C-reactive protein, and age (LNLCA)-acquired at hospital admission-were identified as key predictors of death by multi-tree XGBoost model. The area under curve (AUC) of the nomogram for the derivation and validation cohort were 0.961 and 0.991, respectively. An integrated score (LNLCA) was calculated with the corresponding death probability. COVID-19 patients were divided into three subgroups: low-, moderate-, and high-risk groups using LNLCA cutoff values of 10.4 and 12.65 with the death probability less than 5%, 5-50%, and above 50%, respectively. The prognostic model, nomogram, and LNLCA score can help in early detection of high mortality risk of COVID-19 patients, which will help doctors to improve the management of patient stratification.
  17. Noor NHM, Joibe KF, Hasan MN
    Oman Med J, 2021 Mar;36(2):e249.
    PMID: 33898061 DOI: 10.5001/omj.2021.55
    Objectives: A near miss in transfusion practice is defined as a deviation from standard procedures discovered before transfusion and can lead to a transfusion error. Information on near-miss events provides pivotal data on areas of improvement to prevent actual errors in the future. Our study sought to determine the prevalence and rate of near-miss events and their associated factors amongst house officers (HO) in Hospital Universiti Sains Malaysia.

    Methods: The initial part of this study is a descriptive cross-sectional study involving data collection from all requests sent for group, screen, and hold (GSH) and group and cross match (GXM) tests from 2011 to 2017. The association between sociodemographic, workplace, and experience factors with near-miss events amongst HO was analyzed with a case-control study using logistic regression.

    Results: We reported 83 near-miss events with a prevalence of 0.034% (95% confidence interval 0.027-0.042). The rate of near-miss events was one in every 2916 requests. The mean reporting rate was 11.9 events per year. Clinical near miss predominated at 89.2% compared to 10.8% laboratory near miss. Mislabeled events (33.7%) were more than miscollected events (10.8%). HO were implicated with most events (83.1%). Most events were predominantly in the medical and obstetrics and gynecology wards amounting to 31.3% each. We found a significant association between the ages of HO with near-miss events.

    Conclusions: The prevalence of near-miss events in our hospital was relatively low. Our study has shown areas for improvement include improving sampling practices in clinical areas, adequate training of laboratory technicians, and providing proper transfusion education. Interventions such as encouraging compliance to guidelines and training in clinical and laboratory areas to minimize the risk of mistransfusion should be considered.

    MeSH terms: Near Miss, Healthcare; Blood Grouping and Crossmatching; Blood Transfusion; Cross-Sectional Studies; Female; Gynecology; Hospitals; Humans; Laboratories; Malaysia; Obstetrics; Pregnancy; Reference Standards; Prevalence; Confidence Intervals; Logistic Models; Case-Control Studies; Workplace; Laboratory Personnel
  18. Hanim A, Wafiuddin M, Azfar MA, Awang MS, Nik Abdul Adel NA
    Cureus, 2021 Mar 22;13(3):e14043.
    PMID: 33898129 DOI: 10.7759/cureus.14043
    Introduction This appears to be the first biomechanical study that compares the stability of various locations of the crossing points in crossed pinning Kirschner wiring (K-wire) construct in treating pediatric supracondylar humerus fracture (SCHF). Additionally, this study compared the biomechanical stability between crossed pinning K-wire construct and the three-lateral divergent K-wire construct. Methods For the study purpose, 30 synthetic humerus bones were osteotomised at mid-olecranon fossa, anatomically reduced, and pinned using two 1.6-millimeter K-wires in five different constructs. A total of six samples were prepared for each construct and tested for extension, flexion, valgus, varus, internal rotation, and external rotation forces. Results As for crossed pinning K-wire construct, the center crossing point emerged as the stiffest construct in both linear and rotational forces, in comparison to the lateral crossing point, superior crossing, and medial crossing point Conclusion Based on this analysis, it is highly recommended that, if the crossed pinning construct is selected to treat supracondylar humerus fracture, the surgeon should aim for center crossing point as it is the most stable construct. Nevertheless, if lateral and superior crossing points are obtained during the initial attempt of fixation, the fixation may be accepted without revising the K-wire as the stability of these two constructs are comparable and portrayed no significant difference when compared to that of the center crossing point. Additionally, it is essential to avoid the medial crossing point as it is significantly less stable in terms of rotational force when compared to the center crossing point.
    MeSH terms: Bone Nails; Bone Wires; Child; Humans; Humeral Fractures; Humerus; Rotation; Range of Motion, Articular; Surgeons
  19. Shodipo MO, Sikkel PC, Smit NJ, Hadfield KA
    Int J Parasitol Parasites Wildl, 2021 Apr;14:355-367.
    PMID: 33898237 DOI: 10.1016/j.ijppaw.2021.03.004
    Due to their unusual life cycle that includes parasitic larval and free living adult stages, gnathiid isopods are typically overlooked in biodiversity surveys, even those that focus on parasites. While the Philippines sits within the region of highest marine biodiversity in the world, the coral triangle, no gnathiid species have been identified or described from that region. Here we present the first records of two gnathiid species collected from the Visayas, central Philippines: Gnathia malaysiensis Müller, 1993, previously described from Malaysia, and G. camuripenis Tanaka, 2004, previously described from southern Japan. This paper provides detailed morphological redescriptions, drawings and scanning electron microscope images as well as the first molecular characterisation of both species, Furthermore, a summary of the Central-Indo Pacific Gnathia species is provided.
    MeSH terms: Animals; Japan; Larva; Life Cycle Stages; Malaysia; Microscopy, Electron, Scanning; Parasites; Philippines; Surveys and Questionnaires; Isopoda; Anthozoa; Biodiversity
  20. Abushaala NM, Elfituri AM, Zulkifli SZ
    Open Vet J, 2021 02 08;11(1):112-120.
    PMID: 33898292 DOI: 10.4314/ovj.v11i1.17
    Background: Several types of research have been recently carried out on the biological effects of TBTs, including investigations of genitals in invertebrates in response to exposure to TBTs in marine water.

    Aim: The objective of this research was to investigate the acute effects of tributyltin chloride (TBTCl) on gonads in the adult stage of Artemia salina by use normal histology and immunohistochemistry (IHC) (Caspase 3 and HSP70) to see specific apoptosis markers.

    Methods: After exposure of A. salina to different concentrations of TBTCl (25, 50, 100, 200, and 300 ng.l-1), 50 adult A. salina (25 male and 25 female) were selected randomly from each concentration to histologically study the gonads. The gonad tissue was sectioned (5 μm) and some slides were stained with hematoxylin and eosin and others were stained with IHC avidin-biotin complex, and were examined under a light microscope.

    Results: The results showed significant differences (p < 0.05) in histological lesions between different concentrations of TBTCl. The histological lesions in the testis and ovary section were undifferentiated cells, degenerating yolk globules, and follicle cells enveloping the oocyte which was then compared with control tissue, and these effects were found to be increased in females more than in males with the highest concentration of TBTCl. Immunohistochemistry (IHC) showed that positive immunostaining was observed in the testis and ovary as brownish deposits to Caspase 3 and HSP70 antibody after exposure to TBTCl, while the testis and ovary section in control tissue had no immunoreactivity to Caspase 3 and HSP70 antibody; these effects were profoundly increased with the highest concentration of TBTCl in females more than in males. Finally, the histological lesions and IHC (Caspase 3 and HSP70) revealed that the apoptosis and immune system stress of A. salina gonad tissue damage in females were more sensitive to TBTCl toxicity as compared to white males.

    Conclusion: In general, the present study aimed to observe the effects TBTCl on A. salina gonads by using histological sections and IHC (Caspase 3 and HSP70), which were evaluated for the first time and have been proven to possess an important function in apoptosis marker and immune system stress in Artemia. Finally, the specific mechanisms through which TBTCl affects A. salina Caspase 3 and HSP70 expression need further investigation.

    MeSH terms: Animals; Artemia/drug effects*; Artemia/metabolism; Female; Immunohistochemistry; Male; Ovary/drug effects; Ovary/metabolism; Testis/drug effects; Testis/metabolism; Trialkyltin Compounds/adverse effects*; Water Pollutants, Chemical/adverse effects*; Biomarkers/metabolism; Apoptosis/drug effects*; HSP70 Heat-Shock Proteins/metabolism; Caspase 3/metabolism; Arthropod Proteins/metabolism*
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