7 research outputs found
Effects of fresh shoot biomass of siam weed Chromolaena odorata (L.) King and H. Robinson on the germination and growth of Okra Abelmoschus esculentus (L.) Moench
This study was carried out in the Department of Plant Science and Biotechnology, Federal University Oye Ekiti, Ekiti State. Investigation was carried out on the effects of Fresh Shoot Biomass of Chromolaena odorata on okra Abelmoschus esculentus. For the laboratory experiment, about 5g, 10g, 15g and 20g each of Chromolaena odorata was weighed into plastic bottles each containing 250ml of distilled water for 24 hours. Two millilitres of the leachate was used to water the seeds of okra that was placed in Petri dishes. Each treatment had five replicates that contained four seeds of okra (Abelmoschus esculentus). For the screening experiment, loamy top soil, fresh shoot, stems and leaves of Chromolaena odorata were collected within Federal University Oye Ekiti environment and crushed into smaller bits using mortar and pestle. Three seeds, each of okra that was planted in all the pots. The growth variables considered include radicle length, plumule length, number of roots, for the green house experiment the plant height, leaf area, stem girth, and pod weight were also observed. The leachate of Chromolaena odorata resulted to a reduction in radicle length, plumule length and number of roots. The radicle length of okra treated with leachates of 15g/250ml were adversely affected, while the plumule length of 5g/250ml, 15g/250ml and 20g/250ml greatly decreased compared to the control. The highest decrease in number of roots was noticed in the 15g/250ml concentration. The control plant had the highest plant height increased in a concentration dependent manner with exception of those treated with 200g, the leaf area of the control plant was observed to be lower than all the treatment plants, but it increased in a concentration dependent manner. Also, there was a concentration dependent increase in the steam girth of A. esculentus. The pod weight of the treated plants were lower than the control. The plant treated with 50g highest moisture content, the fat content was higher in the control and plant treated with 50g than the other treated plant. The protein content of the treatment plants was observed to be significantly higher when compared to the control plant. Crude fiber content of the treatment plant was significantly higher than the treatment plants. The ash content of the control was significantly lower than the treated plants, the carbohydrate content of the control plant increased significantly compared to the treatment plant with the lowest at 150g treated plant. The study concluded that the leachate and FSB affected the seed germination, growth and the food content of Abelmoschus esculentus. 
The evolving SARS-CoV-2 epidemic in Africa: Insights from rapidly expanding genomic surveillance
INTRODUCTION
Investment in Africa over the past year with regard to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) sequencing has led to a massive increase in the number of sequences, which, to date, exceeds 100,000 sequences generated to track the pandemic on the continent. These sequences have profoundly affected how public health officials in Africa have navigated the COVID-19 pandemic.
RATIONALE
We demonstrate how the first 100,000 SARS-CoV-2 sequences from Africa have helped monitor the epidemic on the continent, how genomic surveillance expanded over the course of the pandemic, and how we adapted our sequencing methods to deal with an evolving virus. Finally, we also examine how viral lineages have spread across the continent in a phylogeographic framework to gain insights into the underlying temporal and spatial transmission dynamics for several variants of concern (VOCs).
RESULTS
Our results indicate that the number of countries in Africa that can sequence the virus within their own borders is growing and that this is coupled with a shorter turnaround time from the time of sampling to sequence submission. Ongoing evolution necessitated the continual updating of primer sets, and, as a result, eight primer sets were designed in tandem with viral evolution and used to ensure effective sequencing of the virus. The pandemic unfolded through multiple waves of infection that were each driven by distinct genetic lineages, with B.1-like ancestral strains associated with the first pandemic wave of infections in 2020. Successive waves on the continent were fueled by different VOCs, with Alpha and Beta cocirculating in distinct spatial patterns during the second wave and Delta and Omicron affecting the whole continent during the third and fourth waves, respectively. Phylogeographic reconstruction points toward distinct differences in viral importation and exportation patterns associated with the Alpha, Beta, Delta, and Omicron variants and subvariants, when considering both Africa versus the rest of the world and viral dissemination within the continent. Our epidemiological and phylogenetic inferences therefore underscore the heterogeneous nature of the pandemic on the continent and highlight key insights and challenges, for instance, recognizing the limitations of low testing proportions. We also highlight the early warning capacity that genomic surveillance in Africa has had for the rest of the world with the detection of new lineages and variants, the most recent being the characterization of various Omicron subvariants.
CONCLUSION
Sustained investment for diagnostics and genomic surveillance in Africa is needed as the virus continues to evolve. This is important not only to help combat SARS-CoV-2 on the continent but also because it can be used as a platform to help address the many emerging and reemerging infectious disease threats in Africa. In particular, capacity building for local sequencing within countries or within the continent should be prioritized because this is generally associated with shorter turnaround times, providing the most benefit to local public health authorities tasked with pandemic response and mitigation and allowing for the fastest reaction to localized outbreaks. These investments are crucial for pandemic preparedness and response and will serve the health of the continent well into the 21st century
Global Retinoblastoma Presentation and Analysis by National Income Level
Importance: Early diagnosis of retinoblastoma, the most common intraocular cancer, can save both a child's life and vision. However, anecdotal evidence suggests that many children across the world are diagnosed late. To our knowledge, the clinical presentation of retinoblastoma has never been assessed on a global scale. Objectives: To report the retinoblastoma stage at diagnosis in patients across the world during a single year, to investigate associations between clinical variables and national income level, and to investigate risk factors for advanced disease at diagnosis. Design, Setting, and Participants: A total of 278 retinoblastoma treatment centers were recruited from June 2017 through December 2018 to participate in a cross-sectional analysis of treatment-naive patients with retinoblastoma who were diagnosed in 2017. Main Outcomes and Measures: Age at presentation, proportion of familial history of retinoblastoma, and tumor stage and metastasis. Results: The cohort included 4351 new patients from 153 countries; the median age at diagnosis was 30.5 (interquartile range, 18.3-45.9) months, and 1976 patients (45.4) were female. Most patients (n = 3685 84.7%) were from low-and middle-income countries (LMICs). Globally, the most common indication for referral was leukocoria (n = 2638 62.8%), followed by strabismus (n = 429 10.2%) and proptosis (n = 309 7.4%). Patients from high-income countries (HICs) were diagnosed at a median age of 14.1 months, with 656 of 666 (98.5%) patients having intraocular retinoblastoma and 2 (0.3%) having metastasis. Patients from low-income countries were diagnosed at a median age of 30.5 months, with 256 of 521 (49.1%) having extraocular retinoblastoma and 94 of 498 (18.9%) having metastasis. Lower national income level was associated with older presentation age, higher proportion of locally advanced disease and distant metastasis, and smaller proportion of familial history of retinoblastoma. Advanced disease at diagnosis was more common in LMICs even after adjusting for age (odds ratio for low-income countries vs upper-middle-income countries and HICs, 17.92 95% CI, 12.94-24.80, and for lower-middle-income countries vs upper-middle-income countries and HICs, 5.74 95% CI, 4.30-7.68). Conclusions and Relevance: This study is estimated to have included more than half of all new retinoblastoma cases worldwide in 2017. Children from LMICs, where the main global retinoblastoma burden lies, presented at an older age with more advanced disease and demonstrated a smaller proportion of familial history of retinoblastoma, likely because many do not reach a childbearing age. Given that retinoblastoma is curable, these data are concerning and mandate intervention at national and international levels. Further studies are needed to investigate factors, other than age at presentation, that may be associated with advanced disease in LMICs. © 2020 American Medical Association. All rights reserved
Large expert-curated database for benchmarking document similarity detection in biomedical literature search
Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical science. © The Author(s) 2019. Published by Oxford University Press
Global Retinoblastoma Presentation and Analysis by National Income Level
This cross-sectional analysis reports the retinoblastoma stage at
diagnosis across the world during a single year, investigates
associations between clinical variables and national income level, and
investigates risk factors for advanced disease at diagnosis.
Key PointsQuestionIs the income level of a country of residence
associated with the clinical stage of presentation of patients with
retinoblastoma? FindingsIn this cross-sectional analysis that included
4351 patients with newly diagnosed retinoblastoma, approximately half of
all new retinoblastoma cases worldwide in 2017, 49.1\% of patients from
low-income countries had extraocular tumor at time of diagnosis compared
with 1.5\% of patients from high-income countries. MeaningThe clinical
stage of presentation of retinoblastoma, which has a major influence on
survival, significantly differs among patients from low-income and
high-income countries, which may warrant intervention on national and
international levels.
ImportanceEarly diagnosis of retinoblastoma, the most common intraocular
cancer, can save both a child's life and vision. However, anecdotal
evidence suggests that many children across the world are diagnosed
late. To our knowledge, the clinical presentation of retinoblastoma has
never been assessed on a global scale. ObjectivesTo report the
retinoblastoma stage at diagnosis in patients across the world during a
single year, to investigate associations between clinical variables and
national income level, and to investigate risk factors for advanced
disease at diagnosis. Design, Setting, and ParticipantsA total of 278
retinoblastoma treatment centers were recruited from June 2017 through
December 2018 to participate in a cross-sectional analysis of
treatment-naive patients with retinoblastoma who were diagnosed in 2017.
Main Outcomes and MeasuresAge at presentation, proportion of familial
history of retinoblastoma, and tumor stage and metastasis. ResultsThe
cohort included 4351 new patients from 153 countries; the median age at
diagnosis was 30.5 (interquartile range, 18.3-45.9) months, and 1976
patients (45.4\%) were female. Most patients (n=3685 {[}84.7\%]) were
from low- and middle-income countries (LMICs). Globally, the most common
indication for referral was leukocoria (n=2638 {[}62.8\%]), followed by
strabismus (n=429 {[}10.2\%]) and proptosis (n=309 {[}7.4\%]). Patients
from high-income countries (HICs) were diagnosed at a median age of 14.1
months, with 656 of 666 (98.5\%) patients having intraocular
retinoblastoma and 2 (0.3\%) having metastasis. Patients from low-income
countries were diagnosed at a median age of 30.5 months, with 256 of 521
(49.1\%) having extraocular retinoblastoma and 94 of 498 (18.9\%) having
metastasis. Lower national income level was associated with older
presentation age, higher proportion of locally advanced disease and
distant metastasis, and smaller proportion of familial history of
retinoblastoma. Advanced disease at diagnosis was more common in LMICs
even after adjusting for age (odds ratio for low-income countries vs
upper-middle-income countries and HICs, 17.92 {[}95\% CI, 12.94-24.80],
and for lower-middle-income countries vs upper-middle-income countries
and HICs, 5.74 {[}95\% CI, 4.30-7.68]). Conclusions and RelevanceThis
study is estimated to have included more than half of all new
retinoblastoma cases worldwide in 2017. Children from LMICs, where the
main global retinoblastoma burden lies, presented at an older age with
more advanced disease and demonstrated a smaller proportion of familial
history of retinoblastoma, likely because many do not reach a
childbearing age. Given that retinoblastoma is curable, these data are
concerning and mandate intervention at national and international
levels. Further studies are needed to investigate factors, other than
age at presentation, that may be associated with advanced disease in
LMICs
Large expert-curated database for benchmarking document similarity detection in biomedical literature search
Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical science. © The Author(s) 2019. Published by Oxford University Press