scholarly journals Standardization of DNA Residual Quantification Method of Vero Cell Rabies Vaccine for Human Use

2017 ◽  
Vol 11 (1) ◽  
pp. 66-80 ◽  
Author(s):  
Janeth del Carmen Arias Palacios ◽  
Carlos Alberto Barrero Barreto ◽  
José Salvador Montaña Lara ◽  
Ángela María Londoño Navas
Keyword(s):  
Real Time ◽  
Repetitive Sequences ◽  
Housekeeping Gene ◽  
Vero Cells ◽  
Rabies Vaccine ◽  
World Health ◽  
Continuous Cell Lines ◽  
Highly Repetitive Dna ◽  
Standard Set ◽  
Health Organization

Objectives: Normalize the quantification of residual DNA from Vero cells in the rabies vaccine for use in human VAHV I, by quantitative PCR in real time and the design of primers that amplified, highly repetitive sequences of Cercopithecus aethiops and a constitutive gene according to sequences reported in the GenBank and quantifying the residual DNA in the vaccine VAHV I in three consecutive batches according to the standard set by the World Health Organization. Methods: A real time quantitative method based on SYBR Green chemistry has been applied for the quantification of residual DNA (resDNA) using highly repetitive DNA (Alu) and a housekeeping gene (B-actin) as target sequences. Results: The sensitivity achieved with this white sequence is within the reported limits and who are between 5 and 50 pg. For real time PCR optimization with Alu-p53, different concentrations of MgCl2 (0.5, 0.75, 1.0, 1.25 and 1.5 mm) in combination with three different concentrations of primers (75, 100 and 150nM) were used. pDNA in concentration of 1x107 copies / ul was used as template. Optimal concentrations were 1.25 mM MgCl2 and 100nM primers. To level of detection of 1.53 ng/ul was found for p53-Alu and Alu-Glob and 0.39 ng/ul for B-actin with gDNA curves. Conclusion: Quantification of resDNA of vaccine VAHV I with close-ups of B-actin was normalized. Reached a sensitivity of 30 pg of resDNA/dose VAHV I, with close-ups of B-actin. Found, in three consecutive batches, an amount less than 10 ng/dose, these results suggest that the production process ensures vaccine resDNA removal, meeting international requirements for biological products for use in humans that use continuous cell lines for production.

Perancangan Sistem Informasi “DIAMONS” (Diabetes Monitoring System) Berbasis Internet of Things (IoT)

2019 ◽  
Vol 6 (1) ◽  
pp. 39-51
Author(s):  
Endang Sri Rahayu ◽  
Nurul Amalia
Keyword(s):  
Internet Of Things ◽  
World Health Organization ◽  
Real Time ◽  
Monitoring System ◽  
World Health ◽  
Health Organization ◽  
Diabetes Monitoring

Diabetes merupakan penyakit “silent killer” yang ditandai dengan peningkatan kadar glukosa darahdan kegagalan sekresi insulin. World Health Organization (WHO) pada tahun 2016 menyatakanbahwa diabetes menduduki urutan ke-6 sebagai penyakit mematikan di Indonesia. Sehingga upayapencegahan dan penanganan diabetes perlu mendapat perhatian yang serius. Internet of Things (IoT)dapat dijadikan sarana penunjang dalam penanganan penyakit diabetes. Inovasi ini memungkinkanperangkat perawatan kesehatan terhubung dengan jaringan internet, sehingga data pasien dapatdiperbaharui dan diakses secara real-time. Selain mempermudah akses, penggunaan IoT juga akanmemberikan nilai tambah pada efisiensi biaya pelayanan kesehatan. Penelitian ini bertujuan untukmerancang software sistem monitoring gula darah berbasis web yang terintegrasi dengan IoT,sehingga pasien dapat melakukan pemeriksaan, konsultasi dengan dokter dan melihat data rekammedis dari jarak jauh. Data hasil pemeriksaan akan disimpan didalam cloud dan ditampilkan secaraonline. Penelitian ini menggunakan Node MCU ESP8266 sebagai mikrokontroller yang telahdilengkapi dengan modul WiFi, Thingspeak sebagai cloud, aplikasi online dengan “Diamons” sebagaidashboard yang mampu menampilkan presentasi data grafis, dibangun dengan bahasa HypertextPreprocessor (PHP) sebagai bahasa pemogramannya. Penelitian ini akan melibatkan pihak medisdalam pengambilan keputusan. Umpan balik yang diberikan kepada pasien berupa anjuran sepertiresep obat, pola makan, dan kegiatan fisik yang harus dilakukan oleh pasien.

scholarly journals HEAVY METAL CONTENT IN SOME SEAFOODS COLLECTED FROM MUARA ANGKE FISH AUCTION PLACE, JAKARTA.

1987 ◽  
Vol 26 ◽  
pp. 51-58
Author(s):  
Horas Hutagalung ◽  
Suwirma Syamsu
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Metal Content ◽  
Heavy Metal Content ◽  
World Health ◽  
Human Consumption ◽  
Zn Content ◽  
Standard Set ◽  
Health Organization

Determination of  heavy  metal  content  (Hg, Pb, Cd, Cu, Cr, Zn) in some seafoods collected from  Muara  Angke  Fish  Auction  Place  were carried out during February to July 1979. The results showed  that Zn  content  in seafoods a nalyzed  was always much higher than the other heavy metals. The concentration levels of  the  six  heavy  metals observed were low. It is almost of the same level as the metal concentration of  other  seafoods  observed  in various parts of the world oceans, but still lower  than the maximum standard set  for human  consumption  as  established  by   Tasmania, Australia and  World Health Organization. The  mean  per capita  consumption of  fish  in Jakarta is only  about 165 g  per week, while  the  Provisional Tolerated Weekly Intake for Hg, set by WHO/FAO at 300 ug level, would be attained by consuming 1500 g Rastrelliger sp., or 698 gPenaeus setiferus, or 545 g Sepia sp., and or 1250 g Pecten sp.  Therefore,  at   present the  level of metal content in fishes sold at TPI  Muara  Angke  can be  considered  as  not  dangerous  to human health as long as these quantities are not surpassed.

Robson Classification and quality audit

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Gehanath Baral
Keyword(s):  
Cesarean Section ◽  
World Health Organization ◽  
Real Time ◽  
Perinatal Outcome ◽  
World Health ◽  
Related Factors ◽  
Quality Audit ◽  
Robson Classification ◽  
Health Organization

World Health Organization has recommended Robson Classification from baseline obstetric characters to assess, monitor and compare Cesarean Section rates by the quantity analysis. Incorporation of real time labor related factors requires quality audit for both maternal and perinatal outcome.

scholarly journals Predicting the Epidemiological Outbreak of the Coronavirus Disease 2019 (COVID-19) in Saudi Arabia

2020 ◽  
Vol 17 (12) ◽  
pp. 4568 ◽  
Author(s):  
Dabiah Alboaneen ◽  
Bernardi Pranggono ◽  
Dhahi Alshammari ◽  
Nourah Alqahtani ◽  
Raja Alyaffer
Keyword(s):  
Saudi Arabia ◽  
Real Time ◽  
World Health ◽  
Logistic Growth ◽  
Final Phase ◽  
Time Data ◽  
Local Prediction ◽  
The World ◽  
Real Time Data ◽  
Health Organization

The coronavirus diseases 2019 (COVID-19) outbreak continues to spread rapidly across the world and has been declared as pandemic by World Health Organization (WHO). Saudi Arabia was among the countries that was affected by the deadly and contagious virus. Using a real-time data from 2 March 2020 to 15 May 2020 collected from Saudi Ministry of Health, we aimed to give a local prediction of the epidemic in Saudi Arabia. We used two models: the Logistic Growth and the Susceptible-Infected-Recovered for real-time forecasting the confirmed cases of COVID-19 across Saudi Arabia. Our models predicted that the epidemics of COVID-19 will have total cases of 69,000 to 79,000 cases. The simulations also predicted that the outbreak will entering the final-phase by end of June 2020.

scholarly journals The Smart Solution for DNA Removal in Biopharmaceutical Production by Benzonase Endonuclease

2013 ◽  
Vol 2 (1) ◽  
Author(s):  
Zhu Yang ◽  
Mingxin Li ◽  
Wen Chen ◽  
Alexander Peters
Keyword(s):  
Mammalian Cells ◽  
Rna World ◽  
Rapid Development ◽  
World Health ◽  
Base Pairs ◽  
Biological Products ◽  
Continuous Cell Lines ◽  
Dna And Rna ◽  
Biomedical Technologies ◽  
Health Organization

<p>More and more mammalian cells especially continuous cell lines were used to produce vaccines and therapeutic biological products with the rapid development of biomedical technologies. Therefore, more attention should be paid from drug regulatory authorities to the safety of biological products especially quality control of residual DNA and RNA. World Health Organization has evaluated the methods commonly used in vaccine manufacture for their ability to reduce the biological activity of DNA. Benzonase endonuclease is frequently used during the production of vaccines and can degrade all nucleic acid sequences down to oligonucleotides of approximately 3 to 5 base pairs.</p>

scholarly journals Saving Resources: SARS-CoV-2 Diagnostics by Real-Time RT-PCR Using Reduced Reaction Volumes

Diseases ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 84
Author(s):  
Sabine Bock ◽  
Bernd Hoffmann ◽  
Martin Beer ◽  
Kerstin Wernike
Keyword(s):  
Real Time ◽  
Viral Genome ◽  
Virus Detection ◽  
World Health ◽  
Clinical Samples ◽  
Rt Pcr ◽  
Reaction Volume ◽  
Reaction Volumes ◽  
Health Organization ◽  
The Individual

Since the beginning of 2020, the betacoronavirus SARS-CoV-2 is causing a global pandemic of an acute respiratory disease termed COVID-19. The diagnostics of the novel disease is primarily based on direct virus detection by RT-PCR; however, the availability of test kits may become a major bottleneck, when millions of tests are performed per week. To increase the flexibility of SARS-CoV-2 diagnostics, three real-time RT-PCR assays listed on the homepage of the World Health Organization were selected and investigated regarding their compatibility with three different RT-PCR kits. Furthermore, the reaction volume of the PCR chemistry was reduced up to half of the original protocol to make the individual reactions more cost- and resource-effective. When testing dilution series of culture-grown virus, nearly identical quantification cycle values (Cq) were obtained for all RT-PCR assay/chemistry combinations. Regarding the SARS-CoV-2 detection in clinical samples, agreeing results were obtained for all combinations for virus negative specimens and swabs containing high to medium viral genome loads. In cases of very low SARS-CoV-2 genome loads (Cq > 36), inconsistent results were observed, with some test runs scoring negative and some positive. However, no preference of a specific target within the viral genome (E, RdRp, or N) or of a certain chemistry was seen. In summary, a reduction of the reaction volume and the type of PCR chemistry did not influence the PCR sensitivity.

scholarly journals Real-time neural network based predictor for cov19 virus spread

PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0243189
Author(s):  
Michał Wieczorek ◽  
Jakub Siłka ◽  
Dawid Połap ◽  
Marcin Woźniak ◽  
Robertas Damaševičius
Keyword(s):  
Prediction Model ◽  
Real Time ◽  
Prediction Models ◽  
Numerical Data ◽  
Real Data ◽  
Future Trend ◽  
World Health ◽  
Number Of Patients ◽  
The World ◽  
Health Organization

Since the epidemic outbreak in early months of 2020 the spread of COVID-19 has grown rapidly in most countries and regions across the World. Because of that, SARS-CoV-2 was declared as a Public Health Emergency of International Concern (PHEIC) on January 30, 2020, by The World Health Organization (WHO). That’s why many scientists are working on new methods to reduce further growth of new cases and, by intelligent patients allocation, reduce number of patients per doctor, what can lead to more successful treatments. However to properly manage the COVID-19 spread there is a need for real-time prediction models which can reliably support various decisions both at national and international level. The problem in developing such system is the lack of general knowledge how the virus spreads and what would be the number of cases each day. Therefore prediction model must be able to conclude the situation from past data in the way that results will show a future trend and will possibly closely relate to the real numbers. In our opinion Artificial Intelligence gives a possibility to do it. In this article we present a model which can work as a part of an online system as a real-time predictor to help in estimation of COVID-19 spread. This prediction model is developed using Artificial Neural Networks (ANN) to estimate the future situation by the use of geo-location and numerical data from past 2 weeks. The results of our model are confirmed by comparing them with real data and, during our research the model was correctly predicting the trend and very closely matching the numbers of new cases in each day.

scholarly journals IMPLEMENTASI REAL TIME CLOCK ( RTC ) PADA ROBOT LINE FOLLOWER UNTUK VACUUM CLEANER BERBASIS ARDUINO

2021 ◽  
Vol 1 (1) ◽  
pp. 8
Author(s):  
Regi Cahaya Ginting ◽  
Ishak Ishak ◽  
Suardi Yakub
Keyword(s):  
World Health Organization ◽  
Real Time ◽  
World Health ◽  
Vacuum Cleaner ◽  
Real Time Clock ◽  
Corona Virus ◽  
Health Organization

Wabah penyakit corona virus (COVID-19) telah dinyatakan darurat kesehatan masyarakat oleh World Health Organization (WHO) dan virusnya kini telah menyebar ke banyak negara dan wilayah. Banyak korban telah meninggal yang disebabkan COVID-19 ditularkan melalui kontak langsung dengan orang yang terinfeksi. Penting bagi warga untuk mengambil tindakan pencegahan penularan lebih lanjut serta mengurangi dampak wabah dan mendukung program pemerintah menangani Virus Corona. Dimana salah satu program pemerintah dalam menangani virus ialah dengan menjalankan protokol kesehatan COVID-19. Adapun point penting dalam protokol kesehatan yang dibuat oleh pemerintah yaitu menjaga jarak dan menjaga kebersihan tempat,seperti rumah,kantor,sekolah,dan lain-lain. Salah satu alat yang umum digunakan untuk membersikan tempat ialah Vacuum Cleaner atau penyedot debu,namun vacuum cleaner saat ini masih dijalankan dengan manual oleh manusia,agar protokol kesehatan dapat berjalan dengan menjaga jarak dan menjaga kebersihan,maka diperlukan sebuat sistem yang dapat melakukan pembersihan secara otomatis sesuai jadwal yang ditentukan,agar tempat tetap terjaga kebersihanya, salah satu cara yang dapat diterapkan adalah membuat robot line follower untuk vacuum cleaner yang akan berjalan otomatis dengan bantuan motor DC, yang akan membersihkan debu dan kotoran tepat waktu dan terjadwal dengan menggunakan Teknik Counter, Real Time Clock, dan microcontroler Arduino.

scholarly journals MagicplexTM Sepsis real-time test for the rapid diagnosis of bloodstream infections in adults

2018 ◽  
Author(s):  
Yuliya Zboromyrska ◽  
Catia Cillóniz ◽  
Nazaret Cobos-Trigueros ◽  
Manel Almela ◽  
Juan Carlos Hurtado ◽  
...  
Keyword(s):  
Real Time ◽  
Bloodstream Infections ◽  
Health Condition ◽  
Antimicrobial Treatment ◽  
World Health ◽  
Chain Reaction ◽  
Time Test ◽  
Polymerase Chain ◽  
Health Organization ◽  
Level Of Agreement

ABSTRACTSepsis is a serious health condition worldwide, affecting more than 30 million people globally each year. In 2017, the World Health Organization (WHO) adopted a resolution on sepsis: “improving the prevention, diagnosis and clinical management of sepsis”, with the aim of improving early diagnosis, management and prevention to save lives. Blood culture (BC) is generally used to diagnose sepsis because of the low quantity of microbes occurring in the blood during such infections. However, approximately 50% of bloodstream infections (BSI) give negative BC, this figure being higher for sepsis, which delays the start of appropriate antimicrobial therapy. This prospective study evaluated a multiplex real-time polymerase chain reaction, the MagicplexTM Sepsis test (MP), for the detection of pathogens from whole blood, comparing it to routine BC. We analysed 809 blood samples from 636 adult patients, with 132/809 (16.3%) of the samples positive for one or more relevant microorganism according to BC and/or MP. The sensitivity and specificity of MP were 29% and 95%, respectively, while the level of agreement between BC and MP was 87%. The rate of contaminated samples was higher for BC (10%) than MP (4.8%) (P < 0.001). Patients with only MP-positive samples were more likely to be on antimicrobial treatment (47%) than those with only BC-positive samples (18%) (P = 0.002). In summary, the MP test reduces the time taken to identify the microbial pathogen, improving the diagnosis of BSI in patients on antibiotic treatment.

scholarly journals Virucidal Activity of Gold Nanoparticles Synthesized by Green Chemistry Using Garlic Extract

Viruses ◽  
2019 ◽  
Vol 11 (12) ◽  
pp. 1111 ◽  
Author(s):  
Mayra A. Meléndez-Villanueva ◽  
Karla Morán-Santibañez ◽  
Juan J. Martínez-Sanmiguel ◽  
Raúl Rangel-López ◽  
Marco A. Garza-Navarro ◽  
...  
Keyword(s):  
Gold Nanoparticles ◽  
Antiviral Activity ◽  
Measles Virus ◽  
Viral Infections ◽  
Vero Cells ◽  
Garlic Extract ◽  
World Health ◽  
Viral Particles ◽  
Virucidal Effect ◽  
Health Organization

Measles virus (MeV) is a paramyxovirus that infects humans, principally children. Despite the existence of an effective and safe vaccine, the number of cases of measles has increased due to lack of vaccination coverage. The World Health Organization (WHO) reports that the number of cases worldwide multiplied fourfold between January and March 2019, to 112,000. Today, there is no treatment available for MeV. In recent years, it has been demonstrated that natural extracts (herbal or algal) with antiviral activity can also work as reducing agents that, in combination with nanotechnology, offer an innovative option to counteract viral infections. Here, we synthetized and evaluated the antiviral activity of gold nanoparticles using garlic extract (Allium sativa) as a reducing agent (AuNPs-As). These nanoparticles actively inhibited MeV replication in Vero cells at a 50% effective concentration (EC50) of 8.829 µg/mL, and the selectivity index (SI) obtained was 16.05. AuNPs-As likely inhibit viral infection by blocking viral particles directly, showing a potent virucidal effect. Gold nanoparticles may be useful as a promising strategy for treating and controlling the infection of MeV and other related enveloped viruses.

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