Teaching transposon classification as a means to crowd source the curation of repeat annotation - a tardigrade perspective.

BACKGROUND: The advancement of sequencing technologies results in the rapid release of hundreds of new genome assemblies a year providing unprecedented resources for the study of genome evolution. Within this context, the significance of in-depth analyses of repetitive elements, transposable elements (TEs) in particular, is increasingly recognized in understanding genome evolution. Despite the plethora of available bioinformatic tools for identifying and annotating TEs, the phylogenetic distance of the target species from a curated and classified database of repetitive element sequences constrains any automated annotation effort. Moreover, manual curation of raw repeat libraries is deemed essential due to the frequent incompleteness of automatically generated consensus sequences. RESULTS: Here, we present an example of a crowd-sourcing effort aimed at curating and annotating TE libraries of two non-model species built around a collaborative, peer-reviewed teaching process. Manual curation and classification are time-consuming processes that offer limited short-term academic rewards and are typically confined to a few research groups where methods are taught through hands-on experience. Crowd-sourcing efforts could therefore offer a significant opportunity to bridge the gap between learning the methods of curation effectively and empowering the scientific community with high-quality, reusable repeat libraries. CONCLUSIONS: The collaborative manual curation of TEs from two tardigrade species, for which there were no TE libraries available, resulted in the successful characterization of hundreds of new and diverse TEs in a reasonable time frame. Our crowd-sourcing setting can be used as a teaching reference guide for similar projects: A hidden treasure awaits discovery within non-model organisms.

The current status of old traditional medicine introduced from Persia to China.

Traditional Chinese medicine (TCM) includes over ten thousand herbal medicines, some of which were introduced from outside countries and territories. The Silk Road enabled the exchange of merchandise such as teas, silks, carpets, and medicines between the East and West of the Eurasia continent. During this time, the 'Compendium of Materia Medica' (CMM) was composed by a traditional medicine practitioner, Shizhen Li (1,518-1,593) of the Ming Dynasty. This epoch-making masterpiece collected knowledge of traditional medical materials and treatments in China from the 16th century and before in utmost detail, including the origin where a material was obtained. Of 1892 medical materials from the CMM, 46 came from Persia (now Iran). In this study, the basic information of these 46 materials, including the time of introduction, the medicinal value in TCM theory, together with the current status of these medicines in China and Iran, are summarized. It is found that 20 herbs and four stones out of the 46 materials are registered as medicinal materials in the latest China Pharmacopoeia. Now most of these herbs and stones are distributed in China or replacements are available but saffron, ferula, myrrh, and olibanum are still highly dependent on imports. This study may contribute to the further development, exchange, and internationalization of traditional medicine of various backgrounds in the world, given the barriers of transportation and language are largely eased in nowadays.

Discrimination of Substandard and Falsified Formulations from Genuine Pharmaceuticals Using NIR Spectra and Machine Learning.

Near-infrared (NIR) spectroscopy is a promising technique for field identification of substandard and falsified drugs because it is portable, rapid, nondestructive, and can differentiate many formulated pharmaceutical products. Portable NIR spectrometers rely heavily on chemometric analyses based on libraries of NIR spectra from authentic pharmaceutical samples. However, it is difficult to build comprehensive product libraries in many low- and middle-income countries due to the large numbers of manufacturers who supply these markets, frequent unreported changes in materials sourcing and product formulation by the manufacturers, and general lack of cooperation in providing authentic samples. In this work, we show that a simple library of lab-formulated binary mixtures of an active pharmaceutical ingredient (API) with two diluents gave good performance on field screening tasks, such as discriminating substandard and falsified formulations of the API. Six data analysis models, including principal component analysis and support-vector machine classification and regression methods and convolutional neural networks, were trained on binary mixtures of acetaminophen with either lactose or ascorbic acid. While the models all performed strongly in cross-validation (on formulations similar to their training set), they individually showed poor robustness for formulations outside the training set. However, a predictive algorithm based on the six models, trained only on binary samples, accurately predicts whether the correct amount of acetaminophen is present in ternary mixtures, genuine acetaminophen formulations, adulterated acetaminophen formulations, and falsified formulations containing substitute APIs. This data analytics approach may extend the utility of NIR spectrometers for analysis of pharmaceuticals in low-resource settings.

Knowledge, Applicability, and Barriers of Telemedicine in Egypt: A National Survey.

OBJECTIVES: The study is aimed at evaluating knowledge, attitude, and barriers to telemedicine among the general population in Egypt. METHODS: A questionnaire-based cross-sectional design was carried out among the general Egyptian population. A convenience sampling method was used to approach the eligible participants from University Teaching Hospitals of eight governorates from May to July 2020. RESULTS: A total of 686 participants filled the questionnaire (49.4% were males, mean age 36.7 ± 11.2 years old). Half of the participants stated that they previously used a telemedicine tool, mainly to follow up laboratory results (67.3%). Video or phone calls (39.3%) and mobile applications (23.7%) were the most commonly recognized telemedicine tools by the participants. The included participants exhibited a high level of knowledge and attitude towards telemedicine. On the other hand, 21.9% stated that telemedicine services could jeopardize patient privacy. 32.8% reported that telemedicine service could lead to disclosing medical information to people who are not authorized to do so. Almost half of the participants agreed to strongly agreed that telemedicine service could increase medical errors. 60.80% of the participants said that they are more likely to prefer telemedicine than traditional ways. However, 13.70% stated that telemedicine is more likely to be challenging to use. CONCLUSION: The Egyptian population has high knowledge about the applications of telemedicine. In addition, the vast majority of Egyptians appear to perceive the benefits of telemedicine positively and are willing to use it. However, some barriers that have been found must be taken into consideration to adopt telemedicine successfully, especially for people who are old, are low educated, and live in remote areas. Future studies should address the utility of telemedicine in improving the quality of healthcare and patient's health outcome and quality of life.

Disproportionate COVID-19 vaccine acceptance rate among healthcare professionals on the eve of nationwide vaccine distribution in Bangladesh.

BACKGROUND: Acceptance of the COVID-19 vaccine by the target groups would play a crucial role in stemming the pandemic. Healthcare professionals (HCPs) are the priority group for vaccination due to them having the highest risk of exposure to infection. This survey aimed to assess their acceptance of COVID-19 vaccines in Bangladesh. RESEARCH DESIGN AND METHODS: A cross-sectional survey using an online questionnaire was conducted between January 3 to 25, 2021, among HCPs (n = 834) in Bangladesh. RESULTS: Less than 50% of HCPs would receive the vaccine against COVID-19 if available and 54% were willing to take the vaccine at some stage in the future. Female participants (OR:1.64;95%CI:1.172-2.297), respondents between 18-34 years old (OR:2.42; 95% CI:1.314-4.463), HCPs in the public sector (OR:2.09; 95% CI:1.521-2.878), and those who did not receive a flu vaccine in the previous year (OR:3.1; 95% CI:1.552-6.001) were more likely to delay vaccination. CONCLUSIONS: The study revealed that, if available, less than half of the HCPs would accept a COVID-19 vaccine in Bangladesh. To ensure the broader success of the vaccination drive, tailored strategies and vaccine promotion campaigns targeting HCPs and the general population are needed.

The Burden of Severe Hypoglycemia on Quality of Life among Diabetes Mellitus Patients in a Tertiary Level Hospital of Bangladesh.

OBJECTIVE: This study aimed to determine the impact of hypoglycemia on health-related quality of life from a patient perspective. MATERIALS AND METHODS: A cross-sectional study was conducted in 164 type 2 diabetes patients admitted due to severe hypoglycemia from August 2015 to October 2016 at Bangladesh Institute of Research and Rehabilitation in Diabetes, Endocrine and Metabolic Disorders, in Dhaka. Impact of severe hypoglycemia on health-related quality of life in diabetic patients was evaluated using the disease-specific questionnaire audit of diabetes-dependent quality of life-19 (ADDQOL-19). RESULTS: The median ADDQOL score was calculated at -3.31. Totally, 88 (53.7%) patients reported an ADDQOL score of - 3.31 or more, and 76 (46.3%) patients had an ADDQOL score of less than -3.31 (lower quality of life [QoL]). After considering weighting, "Freedom to eat" (mean Weighted Impact Score-6.32 ± 1.94) was the most and "Holidays" (mean Weighted Impact Score-0.96 ± 0.19) was the least affected QoL domains, respectively. In multivariate logistic regression analysis, severe hypoglycemia impact on ADDQOL was related with age (odds ratio [OR] 0.932, 95% confidence intervals [CIs] 0.897-0.969, P < 0.001), sex (OR 0.088, 95% CIs 0.023-0.338, P < 0.001), glycated hemoglobin (%) (OR 0.613, 95% CIs 0.422-0.890, P = 0.010), and marital status (OR 9.264, 95% CIs 2.467-34.790, P = 0.001). CONCLUSIONS: The results of this analysis suggest hypoglycemia impacts heavily on the well-being and quality of life of people with diabetes, and every effort should be made to minimize hypoglycemia while aiming for good glycemic control.

Total synthesis of rupestine G and its epimers.

Rupestine G is a guaipyridine sesquiterpene alkaloid isolated from Artemisia rupestris L. The total synthesis of rupestine G and its epimers was accomplished employing a Suzuki reaction to build a terminal diene moiety. The diene was further elaborated into the desired guaipyridine structure by a ring-closing metathesis reaction. Over all, rupestine G and its three epimers were obtained as a mixture in a sequence of nine linear steps with 18.9% yield. Rupestine G and its optically pure isomers were isolated by chiral preparative HPLC and fully characterized by 1H ,13C NMR, HRMS, optical rotation value, and experimental and calculated electronic circular dichroism spectroscopy.