Browse publications by year: 2020

  1. Amelia-Yap ZH, Tan TK, Prakash BK, Chen CD, Sofian-Azirun M, Low VL
    J Vector Borne Dis, 2020 10 1;57(4):359-361.
    PMID: 34856717 DOI: 10.4103/0972-9062.313959
    MeSH terms: Alleles; Animals; Insecticide Resistance; Malaysia; Culicidae*
  2. Cameron NA, Molsberry R, Pierce JB, Perak AM, Grobman WA, Allen NB, et al.
    J Am Coll Cardiol, 2020 Dec 01;76(22):2611-2619.
    PMID: 33183896 DOI: 10.1016/j.jacc.2020.09.601
    BACKGROUND: Rates of maternal mortality are increasing in the United States with significant rural-urban disparities. Pre-pregnancy hypertension is a well-established risk factor for adverse maternal and offspring outcomes.

    OBJECTIVES: The purpose of this study was to describe trends in maternal pre-pregnancy hypertension among women in rural and urban areas in 2007 to 2018 in order to inform community-engaged prevention and policy strategies.

    METHODS: We performed a nationwide, serial cross-sectional study using maternal data from all live births in women age 15 to 44 years between 2007 and 2018 (CDC Natality Database). Rates of pre-pregnancy hypertension were calculated per 1,000 live births overall and by urbanization status. Subgroup analysis in standard 5-year age categories was performed. We quantified average annual percentage change using Joinpoint Regression and rate ratios (95% confidence intervals [CIs]) to compare yearly rates between rural and urban areas.

    RESULTS: Among 47,949,381 live births to women between 2007 and 2018, rates of pre-pregnancy hypertension per 1,000 live births increased among both rural (13.7 to 23.7) and urban women (10.5 to 20.0). Two significant inflection points were identified in 2010 and 2016, with highest annual percentage changes between 2016 and 2018 in rural and urban areas. Although absolute rates were lower in younger compared with older women in both rural and urban areas, all age groups experienced similar increases. The rate ratios of pre-pregnancy hypertension in rural compared with urban women ranged from 1.18 (95% CI: 1.04 to 1.35) for ages 15 to 19 years to 1.51 (95% CI: 1.39 to 1.64) for ages 40 to 44 years in 2018.

    CONCLUSIONS: Maternal burden of pre-pregnancy hypertension has nearly doubled in the past decade and the rural-urban gap has persisted.

    MeSH terms: Adolescent; Adult; Cross-Sectional Studies; Ethnic Groups; Female; Health Services Needs and Demand; Humans; Maternal Mortality/trends*; Pregnancy; Risk Factors; Rural Health/statistics & numerical data*; United States/epidemiology; Urban Health/statistics & numerical data*; Risk Assessment/methods; Risk Assessment/statistics & numerical data; Healthcare Disparities/statistics & numerical data
  3. Roy DC, Biswas SK, Sheam MM, Hasan MR, Saha AK, Roy AK, et al.
    Curr Res Microb Sci, 2020 Sep;1:37-43.
    PMID: 34841300 DOI: 10.1016/j.crmicr.2020.06.001
    Globally, water pollution from the textile industries is an alarming issue. Malachite Green dye of the triphenylmethane group is an extensively used dye in the fabric industries that is emitted through textile wastewater. This study aimed to isolate and characterize potential Malachite Green (MG) dye degrading bacteria from textile effluents. Different growth and culture parameters such as temperature, pH and dye concentration were optimized to perform the dye-degradation assay using different concentrations of MG dye in the mineral salt medium. A photo-electric-colorimeter was used to measure the decolorizing activity of bacteria at different time intervals after aerobic incubation. Two potential bacterial strains of Enterobacter spp. CV-S1 (accession no: MH450229) and Enterobacter spp. CM-S1 (accession no: MH447289) were isolated from textile effluents exhibiting potential MG dye decoloring efficiency. Further, the RAPD analysis and 16S rRNA sequencing confirmed the genetic differences of the isolated strains. Enterobacter sp CV-S1 and Enterobacter sp CM-S1 can completely decolor MG dye up to 15 mg/L under shaking condition without any requirement of sole carbon source. Thus, these two bacteria have the potency to be utilized in the textile wastewater treatment plant.
  4. Jackson K, Devaraj E, Lakshmi T, Rajeshkumar S, Dua K, Chellappan DK, et al.
    Bioinformation, 2020;16(11):817-827.
    PMID: 34803254 DOI: 10.6026/97320630016817
    It is of interest to study the cytotoxicity of silibinin assisted silver nanoparticles in human colorectal (HT-29) cancer cells. Silver nanoparticles were synthesized using silibinin as a reducing agent. The synthesized silibinin assisted silver nanoparticles ( SSNPs) were characterized and analyzed using a transmission electron microscope and spectrophotometer. The SSNPs synthesized in this study are spherical and their size ranges from 10 to 80 nm. HT-29 cells were treated with different concentrations (2, 4, 6, 8 and 10 ng/mL) of SSNPs and cytotoxicity was evaluated. The apoptosis was using flow cytometry. p53 protein expression using western blot. SSNPs are induced a decrease in viability and increased concentration-dependent cytotoxicity in HT-29 cells. SSNPs treatment also caused apoptosis-related morphological changes. SSNPs treatments at 8 and 16 ng/ml showed a prominent apoptotic change i.e., 70.3% and 83.6% respectively, and decreased viability of HT-29 cells 20% and 11.2% respectively as compared to control cells. SSNPs treatments induced p53 expression in HT-29 cells. Data shows that SSNPs have the potential to induce apoptosis in colorectal cancer cells. This provides insights for the further evaluation of SSNPs in fighting colon cancer.
  5. Akshayaa L, Lakshmi T, Devaraj E, Roy A, Raghunandhakumar S, Sivaperumal P, et al.
    Bioinformation, 2020;16(11):878-881.
    PMID: 34803262 DOI: 10.6026/97320630016878
    Design and development of effective anti-virals in combating CoVid-19 is a great challenge worldwide. Known drugs such as chloroquine, lopinavir, favipiravir and remdesivir are used in the management of CoVid - 19. It is known that Ivermectin and remdesivir both are effective against filoviruses, paramyxo viruses. Available data also shows that ivermectin and remedesivir repress the replication of SARS-CoV-2. Thus, we document the potential use of ivermectin and remdesivir in the management of CoVid -19.
  6. Ramamoorthy K, Raghunandhakumar S, Anand RS, Paramasivam A, Kamaraj S, Nagaraj S, et al.
    Bioinformation, 2020;16(11):965-973.
    PMID: 34803274 DOI: 10.6026/97320630016965
    Astaxanthin (AXN) is known to have health benefits by epidemiological studies. Therefore, it is of interest to assess the effect of AXN (derived from indigenous unicellular green alga Haematococcus lacustris) to modulate cell cycle arrest, lysosomal acidification and eventually apoptosis using in vitro in A549 lung cancer cells. Natural extracts of astaxanthin were obtained by standardized methods as reported earlier and characterized by standard HPLC and MS. Treatment of A549 cells with AXN (purified fraction) showed significant reduction in cell viability (about 50%) as compared to crude extract at 50µM concentration. Thus, we show the anticancer effects and lysosomal acidification in A549 cells by Astaxanthin from Haematococcus lacustris for further consideration. Together, our results demonstrated the anticancer potential of AXN from Haematococcus lacustris, which is found to be mediated via its ability to induce cell cycle arrest, lysosomal acidification and apoptotic induction.
  7. Mishra NP, Das SS, Yadav S, Khan W, Afzal M, Alarifi A, et al.
    Sens Int, 2020;1:100042.
    PMID: 34766044 DOI: 10.1016/j.sintl.2020.100042
    On March 11, 2020, the novel Corona virus disease (COVID-19), was described as a pandemic by World Health Organization (WHO). Globally, the COVID-19 has not only affected the public health socially but also has rigorously affected economically. Substantial declines in income, increase in unemployment, and distractions in the transportation, amenities, and industrial sectors are amongst the major concerns of the pandemic disease extenuation. Furthermore, the governments of most of the countries underestimated the menaces of COVID-19 spread and were typically responsive for the calamities in their respective countries. As outbreak of this pandemic is not likely to wane in the nearby future, preventive actions are prerequisite to prevent infection spread, save people lives and also to save the economic affluence. In this review, based on the present knowledge and available literature, we have demonstrated the various aspects of pre-and post-COVID-19 effects over the social and economic phases worldwide. Moreover, the evidence based data have been summarized regarding threats, social influences, scientific upgrades, moral dynamics, stress and adapting in the pre- and post- COVID-19 situations.
  8. Chaturvedi A, Rao G, Praharaj SK, Guruprasad KP, Pais V
    Alcohol Alcohol, 2020 Jun 25;55(4):391-394.
    PMID: 32363396 DOI: 10.1093/alcalc/agaa033
    AIM: Chronic alcohol consumption can activate and dysregulate the neuroimmune system which leads to neuroinflammation. Neuroimmune regulatory proteins (NIReg) (e.g. Cluster of Differentiation 200 (CD200)) are the regulators of innate immune response and are responsible for silencing the innate immunity and suppression of inflammation. In this study, we explored the changes of serum levels of CD200 in patients with alcohol dependence at baseline, after one-week alcohol withdrawal and after one-month of alcohol abstinence.

    METHODS: Seventeen patients with alcohol dependence admitted for de-addiction treatment and 12 healthy controls were enrolled in the study. Blood samples were collected at baseline, after one-week, and after one-month, and CD200 levels were measured using enzyme-linked immunosorbent assay kit and compared with the healthy controls.

    RESULTS: The serum level of the neuroimmune regulatory protein CD200 in alcohol dependent group (at baseline) was significantly lower compared to healthy controls (p=0.003), and increased after one-week, and one-month period.

    CONCLUSION: The present study indicates that decrease of CD200 serum levels in alcohol dependent patients and its rise during alcohol withdrawal and abstinence may provide a preliminary evidence of the role of neuroimmune regulatory proteins in neuroadaptation during alcohol withdrawal.

    MeSH terms: Adult; Alcoholism/blood*; Female; Humans; Male; Antigens, CD/blood*; Case-Control Studies
  9. Gupta A, Pradhan B, Maulud KNA
    Earth Syst Environ, 2020;4(3):523-534.
    PMID: 34723072 DOI: 10.1007/s41748-020-00179-1
    The COVID-19 pandemic has spread obstreperously in India. The increase in daily confirmed cases accelerated significantly from ~ 5 additional new cases (ANC)/day during early March up to ~ 249 ANC/day during early June. An abrupt change in this temporal pattern was noticed during mid-April, from which can be inferred a much reduced impact of the nationwide lockdown in India. Daily maximum (T Max), minimum (T Min), mean (T Mean) and dew point temperature (T Dew), wind speed (WS), relative humidity, and diurnal range in temperature and relative humidity during March 01 to June 04, 2020 over 9 major affected cities are analyzed to look into the impact of daily weather on COVID-19 infections on that day and 7, 10, 12, 14, 16 days before those cases were detected (i.e., on the likely transmission days). Spearman's correlation exhibits significantly lower association with WS, T Max, T Min, T Mean, T Dew, but is comparatively better with a lag of 14 days. Support Vector regression successfully estimated the count of confirmed cases (R 2 > 0.8) at a lag of 12-16 days, thus reflecting a probable incubation period of 14 ± 02 days in India. Approximately 75% of total cases were registered when T Max, T Mean, T Min, T Dew, and WS at 12-16 days previously were varying within the range of 33.6-41.3 °C, 29.8-36.5 °C, 24.8-30.4 °C, 18.7-23.6 °C, and 4.2-5.75 m/s, respectively. Thus, we conclude that coronavirus transmission is not well correlated (linearly) with any individual weather parameter; rather, transmission is susceptible to a certain weather pattern. Hence multivariate non-linear approach must be employed instead.
  10. Huang MC, Liou MH, Iwaki Y
    J Soc Econ Dev, 2020 Sep 19.
    PMID: 34720470 DOI: 10.1007/s40847-020-00113-1
    Policymaking for science, technology, and innovation (R&D) is stepping into a new era in the twenty-first century within a highly integrated production network, making it more challenging to capture the impact of R&D investment from an evidence-based approach. To unfold the paradox of the R&D spillover effect spared in the global supply chain, we use computable general equilibrium model with the GTAP database v10 to analyze the impact of Japan's public R&D investment to the world focus on key sectors of global supply chain, namely chemical and pharmaceutical, electronic equipment, machinery, and transportation equipment to examine its output, external trades, and welfare. The productivity parameters triggered by public R&D investment are calibrated from the SciREX Policymaking Intelligent Assistance System-Economic Simulator (SPIAS-e). The simulation results show significant increase in Japan's output and export for chemical and pharmaceutical, electronic equipment, and transportation equipment. The GDP growth was stimulated by 0.6% and substantial welfare improvement by USD 78,000 million, while other countries such as Malaysia and Taiwan by 0.4-0.6%. In contrast, the economic indicators of China reveal a negative impact, implying a structural change in the composition of the production network. It is notable to see a higher economic integration of Oceania within the region through its vibrant production and trades. The study provides comprehensive global analysis on production networks and insights for evaluating the R&D investment spillover effects.
  11. Shariffudin NS, Min TW, Adnan A, Hashim H, Teo KSS
    Taiwan J Ophthalmol, 2020 08 14;11(3):292-295.
    PMID: 34703746 DOI: 10.4103/tjo.tjo_29_20
    A 6-year-old boy was referred from the optometrist for bilateral painless blurred vision of 2 weeks duration during routine screening. Upon examination, best-corrected visual acuity was 20/200 (right eye) and 20/120 (left eye). Anterior segment examination was normal for both eyes. Funduscopy showed bilateral optic disc swelling with peripapillary exudates and diffuse retinochoroiditis involving the posterior pole. Optical coherence tomography revealed diffuse retinal thickening with intraretinal fluids and cystoid changes of central fovea. Fluorescein angiography showed bilateral hot discs with vasculitis in all quadrants and large areas of nonperfusion at peripheral retina. The patient was initially treated as presumed ocular tuberculosis (TB) based on clinical presentation and history of contact with family member having pulmonary TB. Antituberculous therapy was started and both eyes received panretinal laser photocoagulation. After 3 weeks of anti-TB treatment, serology for Bartonella turned out to be positive. Treatment was changed to intravenous ceftriaxone for 10 days followed by oral cotrimoxazole for 6 weeks and combined treatment with oral prednisolone. Gradual clinical improvement was seen with corresponding visual gain due to the reduction of macular edema, but residual thickening remained due to its chronicity.
  12. Ahmed AAA, Al-Shami AM, Jamshed S, Zawiah M, Elnaem MH, Mohamed Ibrahim MI
    Risk Manag Healthc Policy, 2020;13:3089-3102.
    PMID: 33380849 DOI: 10.2147/RMHP.S281285
    Background: Cardiovascular disease is a leading nationwide cause of morbidity and mortality. Public awareness of risk factors for heart attacks is thought to impact the burden of disease, prevention, and timely management. The objective of this study was to assess the awareness of risk factors for heart attack and to identify the factors associated with the awareness of all modifiable risk factors for heart attack in the general population.

    Methods: This is a cross-sectional study conducted among 393 adult individuals in Kuantan, Pahang, Malaysia. Data collection was conducted through face-to-face interviews among the lay public members who were 18-64 years old, excluding healthcare professionals in clinical settings and academic settings. Statistical analysis was performed using chi-square test and logistic regression analysis.

    Results: The majority of the individuals identified smoking as a risk factor for heart attack, followed by atrial fibrillation (57.7%), heart disease (54.1%), and obesity (53.8%). However, diabetes (26%) was the risk factor that was least recognized by the participants. A total of 90.6% of participants identified at least one risk factor for heart attack, while 9.8% of the participants did not identify any risk factors for heart attack, whereas 5.6% identified all modifiable heart attack risk factors. Furthermore, participants aged 46-64 years old, married respondents, and Chinese participants, those with higher educational levels, and received prior information demonstrated great awareness of eight modifiable risk factors for heart attack. Multivariable logistic regression presented that participants with aged 55-64, those with family history of heart attack and individuals with dyslipidemia were factors independently related to excellent awareness (p=0.04, OR=6.21, 95% CL= 1.081-35.641), (p=0.049, OR=2.11, 95% CL=0.721-6.230) and (p=0.009, OR= 4.08, 95% CL= 1.427-11.685), respectively.

    Conclusion: Awareness of risk factors for heart attack appears to be poor, where most of the respondents recognized only one modifiable risk factor. According to these findings, programs and strategies to raise awareness of modifiable risk factors for HA are urgently needed to protect the lay public from HA.

  13. Nayan NA, Ab Hamid H, Suboh MZ, Abdullah N, Jaafar R, Mhd Yusof NA, et al.
    DOI: 10.3991/ijoe.v16i07.13569
    Cardiovascular disease (CVD) is the leading cause of deaths worldwide. In 2017, CVD contributed to 13,503 deaths in Malaysia. The current approaches for CVD prediction are usually invasive and costly. Machine learning (ML) techniques allow an accurate prediction by utilizing the complex interactions among relevant risk factors. This study presents a case–control study involving 60 participants from The Malaysian Cohort, which is a prospective population-based project. Five parameters, namely, the R–R interval and root mean square of successive differences extracted from electrocardiogram (ECG), systolic and diastolic blood pressures, and total cholesterol level, were statistically significant in predicting CVD. Six ML algorithms, namely, linear discriminant analysis, linear and quadratic support vector machines, decision tree, knearest neighbor, and artificial neural network (ANN), were evaluated to determine the most accurate classifier in predicting CVD risk. ANN, which achieved 90% specificity, 90% sensitivity, and 90% accuracy, demonstrated the highest prediction performance among the six algorithms. In summary, by utilizing ML techniques, ECG data can serve as a good parameter for CVD prediction among the Malaysian multiethnic population.
    Keywords—CVD, ECG, machine learning, The Malaysian Cohort, RMSSD
    Study name: The Malaysian Cohort (TMC) project
    MeSH terms: Adult; Cardiovascular Diseases; Electrocardiography; Humans; Malaysia; Sensitivity and Specificity; Case-Control Studies
  14. Matpady P, Maiya AG, Saraswat PP, Mayya SS, Pai MS, S AD, et al.
    Diabetes Metab Syndr, 2020 11 04;14(6):2161-2167.
    PMID: 33395776 DOI: 10.1016/j.dsx.2020.10.033
    BACKGROUND: Diabetes is a significant public health challenge for India. Self-management, including dietary management, physical activity, stress management, and adherence to medication, is critical in glycaemic control. Though data concerning self-management, in general, are available among persons with Type 2 Diabetes Mellitus (T2DM), exclusive research on dietary self-management was limited.

    AIMS: A qualitative study to explore the knowledge, current dietary practices, and the barriers and enablers for dietary self-care management in persons with T2DM.

    METHODS: In this qualitative study, in-depth interviews were conducted among 35 participants with T2DM who scored minimally and optimally in the Diabetes Self-Management Questionnaire (DSMQ). Interviews were conducted using a validated interview guide. In-depth interviews were audio-recorded, transcribed to verbatim and thematically analysed.

    RESULTS: The study included 20 males and 15 females. The three major themes derived in the study. Firstly, "Knowledge, Interpretation and Information" the majority of the participants have understood the influence of diet on control of blood glucose level includes food choices and quantum of food. Secondly, "Current Dietary Practices-Preferences, Availability of food and Convenience influence dietary practices': All participants had their own belief on the side effects and benefits of certain food items. Most of the participants followed a three-meal pattern: breakfast, lunch and dinner. Finally, Barriers and Enablers in dietary self-management practice. Knowledge, physical and emotional factors, behaviour, planning were the intrinsic factors. Elements of the research, social support, season and climate, food environment were the extrinsic factors and communication, and financial management was the intermediate influences observed.

    CONCLUSION: The themes generated by this research provide insight into self-management and patient expectations in dietary matters. It would be desirable for physicians and health care providers to be aware of these practices when advising people with T2DM on dietary self - management.

    MeSH terms: Adult; Aged; Diabetes Mellitus, Type 2/diet therapy*; Diabetes Mellitus, Type 2/psychology; Female; Follow-Up Studies; Humans; Health Knowledge, Attitudes, Practice*; Male; Middle Aged; Prognosis; Social Support; Health Behavior*; Exercise*; Qualitative Research
  15. Gyawali P, Hinwood M, Chow WZ, Kluge M, Ong LK, Nilsson M, et al.
    Brain Behav Immun Health, 2020 Dec;9:100157.
    PMID: 34589899 DOI: 10.1016/j.bbih.2020.100157
    Background: The precise mechanisms underlying the aetiology of post-stroke fatigue remain poorly understood. Inflammation has been associated with clinically significant fatigue across a number of neurological disorders; however, at present there is a lack of evidence regarding the association of fatigue and inflammation in the chronic phase of stroke recovery.

    Aims: The aim of this study was to examine fatigue in a cohort of stroke survivors in the chronic phase of stroke, compared with matched controls, and to explore associations between the pro-inflammatory cytokine interleukin-6, high-sensitivity C-reactive Protein and fatigue.

    Methods: We performed an exploratory cross-sectional study of 70 people in the chronic phase of stroke recovery, and 70 age matched controls. Fatigue was assessed using the Fatigue Assessment Scale. Interleukin-6 was measured in serum using a commercially available enzyme immunoassay kit. Both outcome measures were assessed contemporaneously.

    Results: Clinically significant fatigue, defined as a score ≥24 on the Fatigue Assessment Scale, was reported by 60% of stroke survivors, and 15.7% of controls. The odds of experiencing clinically significant fatigue was 8.04 times higher among stroke survivors compared to control participants (odds ratio 8.045; 95% CI: 3.608, 17.939; P ​

  16. Walker JD, Spiro G, Loewen K, Jacklin K
    J Alzheimers Dis, 2020;78(4):1439-1451.
    PMID: 33185601 DOI: 10.3233/JAD-200704
    BACKGROUND: There remains a lack of information and understanding of the prevalence and incidence of Alzheimer's disease and related dementia in Indigenous populations. Little evidence available suggests that Indigenous peoples may have disproportionately high rates of Alzheimer's disease and related dementia (ADRD).

    OBJECTIVE: Given this information, this study systematically explores what risk factors may be associated with ADRD in Indigenous populations.

    METHODS: A search of all published literature was conducted in October 2016, March 2018, and July 2019 using Medline, Embase, and PsychINFO. Subject headings explored were inclusive of all terms related to Indigenous persons, dementia, and risk. All relevant words, phrases, and combinations were used. To be included in this systematic review, articles had to display an association of a risk factor and ADRD. Only studies that reported a quantifiable measure of risk, involved human subjects, and were published in English were included.

    RESULTS: Of 237 articles originally identified through database searches, 45 were duplicates and 179 did not meet a priori inclusion criteria, resulting in 13 studies eligible for inclusion in this systematic review.

    CONCLUSION: The large number of potentially modifiable risk factors reported relative to non-modifiable risk factors illustrates the importance of socioeconomic context in the pathogenesis of ADRD in Indigenous populations. The tendency to prioritize genetic over social explanations when encountering disproportionately high disease rates in Indigenous populations can distract from modifiable proximal, intermediate, and distal determinants of health.

    MeSH terms: Age Factors; Alzheimer Disease/ethnology*; Alzheimer Disease/epidemiology; Australia/epidemiology; Canada/epidemiology; Cardiovascular Diseases/epidemiology; Dementia/ethnology*; Dementia/epidemiology; Diabetes Mellitus/epidemiology; Educational Status; Epilepsy/epidemiology; Inuits/statistics & numerical data; Guam/epidemiology; Craniocerebral Trauma/epidemiology; Humans; Hypertension/epidemiology; Malaysia/epidemiology; Obesity/epidemiology; Risk Factors; Sex Factors; Smoking/epidemiology; Social Class; Incidence; Oceanic Ancestry Group/statistics & numerical data*; Sedentary Lifestyle; Mild Cognitive Impairment/ethnology*; Mild Cognitive Impairment/epidemiology
  17. Shi J, Sun J, Hu N, Hu Y
    Infect Genet Evol, 2020 11;85:104442.
    PMID: 32622923 DOI: 10.1016/j.meegid.2020.104442
    Little is known about the genetic features of Nipah virus (NiV) associated with virulence and transmission. Herein, phylogenetic and genetic analyses for all available NiV strains revealed sequence variations between the two genetic lineages of NiV with pathogenic differences, as well as among different strains within Bangladesh lineage. A total of 143 conserved amino acid differences, distributed among viral nucleocapsid (N), phosphoprotein (P), matrix protein (M), fusion protein (F) and glycoprotein (G), were revealed. Structural modeling revealed one key substitution (S3554N) in the viral G protein that might mediate a 12-amino-acid structural change from a loop into a β sheet. Multiple key amino acids substitutions in viral G protein were observed, which may alter viral fitness and transmissibility from bats to humans.
    MeSH terms: Amino Acid Sequence; Animals; Bangladesh; Chiroptera/virology; Humans; Malaysia; Phylogeny*; Genetic Variation*; Viral Proteins/genetics*; Virulence; Evolution, Molecular; Amino Acid Substitution; Nipah Virus/genetics*; Nipah Virus/pathogenicity*; Henipavirus Infections/transmission*; Henipavirus Infections/virology*
  18. Rahman HS, Aziz MS, Hussein RH, Othman HH, Salih Omer SH, Khalid ES, et al.
    Int J Surg Open, 2020;26:125-136.
    PMID: 34568614 DOI: 10.1016/j.ijso.2020.08.017
    The current rampant coronavirus infection in humans, commonly known as COVID-19, a pandemic that may cause mortality in humans, has been declared a global emergency by the World Health Organization (WHO). The morbidity and mortality rates due to the pandemic are increasing rapidly worldwide, with the USA most affected by the disease. The source COVID-19 is not absolutely clear; however, the disease may be transmitted by either by COVID-19-positive individuals or from a contaminated environment. In this review, we focused on how the COVID-19 virus is transmitted in the community. An extensive literature search was conducted using specific keywords and criteria. Based on the published report, it is concluded that COVID-19 is primarily transmitted human-to-human via oral and respiratory aerosols and droplets with the virus-contaminated environment play a lesser role in the propagation of disease. Healthcare providers and the elderly with comorbidities are especially susceptible to the infection.
  19. Gan HM, Wengert P, Barton HA, Hudson AO, Savka MA
    Access Microbiol, 2020;2(2):acmi000089.
    PMID: 34568753 DOI: 10.1099/acmi.0.000089
    Acinetobacter are Gram-negative bacteria belonging to the sub-phyla Gammaproteobacteria, commonly associated with soils, animal feeds and water. Some members of the Acinetobacter have been implicated in hospital-acquired infections, with broad-spectrum antibiotic resistance. Here we report the whole-genome sequence of LC510, an Acinetobacter species isolated from deep within a pristine location of the Lechuguilla Cave. Pairwise nucleotide comparison to three type strains within the genus Acinetobacter assigned LC510 as an Acinetobacter pittii isolate. Scanning of the LC510 genome identified two genes coding for b-lactamase resistance, despite the fact that LC510 was isolated from a portion of the cave not previously visited by humans and protected from anthropogenic input. The ability to produce acyl-homoserine lactone (AHL) signal in culture medium, an observation that is consistent with the identification of the luxI and luxR homologues in its genome, suggests that cell-to-cell communication remains important in an isolated cave ecosystem.
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