Publications by authors named "Zolfo M"

Article Synopsis
  • - The text discusses the importance of learning outcomes in education and how integrating "A-SMART" (Action-oriented, Specific, Measurable, Achievable, Relevant, Time-bound) outcomes with the backward design process can enhance curriculum planning.
  • - It introduces a three-stage approach for educators: define desired results, determine acceptable evidence of learning, and plan learning activities, highlighting the significance of starting with action verbs.
  • - By adopting this method, educators can create clearer, more effective learning outcomes that improve assessment practices and educational experiences while addressing potential challenges in the process.
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  • The study analyzes the oral microbiome of over 7,000 salivary samples from families with children diagnosed with autism spectrum disorders (ASD) to identify differences compared to neurotypical siblings.
  • Researchers found 108 species that differentiate ASD subjects from neurotypical counterparts, with specific connections to cognitive impairment measured by IQ.
  • The findings suggest potential links between the oral microbiome and neurodevelopmental factors related to ASD, while noting that lifestyle differences might also play a role.
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Viruses are an abundant and crucial component of the human microbiome, but accurately discovering them via metagenomics is still challenging. Currently, the available viral reference genomes poorly represent the diversity in microbiome samples, and expanding such a set of viral references is difficult. As a result, many viruses are still undetectable through metagenomics even when considering the power of metagenomic assembly and binning, as viruses lack universal markers.

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  • Scientists are studying how the tiny living things in our gut (gut microbiome) can affect cancer treatment, specifically with a method called immune checkpoint blockade (ICB).
  • They looked at 175 patients with a type of skin cancer called melanoma to see how changes in the gut microbiome relate to how well the treatment works over time.
  • They found that certain types of gut bacteria can help predict if patients will do better or worse with the treatment, and understanding these changes can help doctors improve therapies in the future.
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An operational research study was conducted in 2019 to assess the quality of data submitted by antimicrobial resistance (AMR) surveillance sites in the Bagmati Province of Nepal to the National Public Health Laboratory for Global Antimicrobial Resistance and Use Surveillance System (GLASS). Measures were implemented to enhance the quality of AMR surveillance by strengthening capacity, improving infrastructure, implementing data sharing guidelines, and supervision. The current study examined reports submitted by surveillance sites in the same province in 2022 to assess whether the data quality had improved since 2019.

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Mouse models are key tools for investigating host-microbiome interactions. However, shotgun metagenomics can only profile a limited fraction of the mouse gut microbiome. Here, we employ a metagenomic profiling method, MetaPhlAn 4, which exploits a large catalog of metagenome-assembled genomes (including 22,718 metagenome-assembled genomes from mice) to improve the profiling of the mouse gut microbiome.

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Metagenomic assembly enables new organism discovery from microbial communities, but it can only capture few abundant organisms from most metagenomes. Here we present MetaPhlAn 4, which integrates information from metagenome assemblies and microbial isolate genomes for more comprehensive metagenomic taxonomic profiling. From a curated collection of 1.

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The human microbiome is an integral component of the human body and a co-determinant of several health conditions. However, the extent to which interpersonal relations shape the individual genetic makeup of the microbiome and its transmission within and across populations remains largely unknown. Here, capitalizing on more than 9,700 human metagenomes and computational strain-level profiling, we detected extensive bacterial strain sharing across individuals (more than 10 million instances) with distinct mother-to-infant, intra-household and intra-population transmission patterns.

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Statistical methods, especially machine learning, learning(ML), are pivotal for the analyses of large data generated by multiomics human gut microbiota study. These analyses lead to the discovery of microbe-disease associations. Furthermore, recent efforts for more data transparency and accessible analytical tools improved data availability and study reproducibility.

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The identification of the protospacer adjacent motif (PAM) sequences of Cas9 nucleases is crucial for their exploitation in genome editing. Here we develop a computational pipeline that was used to interrogate a massively expanded dataset of metagenome and virome assemblies for accurate and comprehensive PAM predictions. This procedure allows the identification and isolation of sequence-tailored Cas9 nucleases by using the target sequence as bait.

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Article Synopsis
  • Many qualitative studies lack adequate reporting, which complicates their usefulness for public health decisions.
  • A review of 67 publications from the SORT IT initiative found that most studies were authored by individuals from low-and-middle-income countries, with a notable contribution from female authors.
  • The majority of the studies met high reporting quality standards, indicating that SORT IT effectively supports robust research practices and promotes equity in public health research.
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With safely managed water accessible to only 19% of the population in Ghana, the majority of its residents are at risk of drinking contaminated water. Furthermore, this water could be a potential vehicle for the transmission of antimicrobial-resistant bacteria. This study assessed the presence of bacteria and the antibiotic resistance profile of and in drinking-water sources using membrane filtration and Kirby-Bauer disc diffusion methods.

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Introduction: Timely and appropriate management of snakebites in the tropics is a lifesaver. Many snakebite patients are being bitten in remote rural areas and do not manage to get in due time to healthcare facilities. This study assessed the clinical features and the risk factors associated with treatment outcomes of snakebite patients admitted at two hospitals in the Northwest of Ethiopia.

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Introduction: In Sub-Saharan Africa, snakebites are a public health problem. In Ethiopia, clinical cases have been described, but little information exists on snakebites burden and its geographical distribution. The aim of this study was to document the spatial distribution of venomous snakes and snakebites in Ethiopia.

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Introduction: Trachomatous trichiasis (TT) is the advanced stage of trachoma where lashes touch the globe of the eye causing permanent damage. Without eyelid surgery, TT can lead to irreversible blindness. In 2015 the Ethiopian Ministry of Health launched the Fast Track Initiative with the aim of enhancing the provision of surgical services for TT.

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  • Research shows that the gut microbiome may influence how patients with advanced melanoma respond to immune checkpoint inhibitors (ICIs), but there’s no clear agreement on which specific microbiome traits are beneficial.
  • A study that sequenced stool samples from 165 ICI-naive patients and combined these with 147 samples from earlier research found that microbiome characteristics linked to treatment response varied by patient group.
  • While some bacteria, like Bifidobacterium pseudocatenulatum and Akkermansia muciniphila, were associated with positive responses to ICIs, no single species reliably indicated treatment success, highlighting the complexity of this relationship and suggesting more research is needed.
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Background: Akkermansia muciniphila is a human gut microbe with a key role in the physiology of the intestinal mucus layer and reported associations with decreased body mass and increased gut barrier function and health. Despite its biomedical relevance, the genomic diversity of A. muciniphila remains understudied and that of closely related species, except for A.

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Antimicrobials help in the prevention and treatment of infections and are crucial for animal production, but overuse can result in antimicrobial resistance. Hence, understanding data quality on livestock antimicrobial use is essential. We assessed frequency of reporting, completeness, and concordance of reported data and availability of human resources and infrastructure in 14 districts in Sierra Leone.

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Globally, 5-15% of hospitalized patients acquire infections (often caused by antimicrobial-resistant microbes) due to inadequate infection prevention and control (IPC) measures. We used the World Health Organization's (WHO) 'Infection Prevention and Control Assessment Framework' (IPCAF) tool to assess the IPC compliance at Lira University hospital (LUH), a teaching hospital in Uganda. We also characterized challenges in completing the tool.

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Culture-independent analyses of microbial communities have progressed dramatically in the last decade, particularly due to advances in methods for biological profiling via shotgun metagenomics. Opportunities for improvement continue to accelerate, with greater access to multi-omics, microbial reference genomes, and strain-level diversity. To leverage these, we present bioBakery 3, a set of integrated, improved methods for taxonomic, strain-level, functional, and phylogenetic profiling of metagenomes newly developed to build on the largest set of reference sequences now available.

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Antimicrobial resistance (AMR) is a global problem, and Nepal is no exception. Countries are expected to report annually to the World Health Organization on their AMR surveillance progress through a Global Antimicrobial Resistance Surveillance System, in which Nepal enrolled in 2017. We assessed the quality of AMR surveillance data during 2019-2020 at nine surveillance sites in Province 3 of Nepal for completeness, consistency, and timeliness and examined barriers for non-reporting sites.

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  • Dental implants are becoming more popular, but conditions like mucositis and peri-implantitis pose significant health and economic challenges due to microbial biofilms affecting the tissues around implants.
  • A study using metagenomic sequencing of 113 samples from 72 individuals identified specific bacteria linked to these diseases, creating a "peri-implantitis-related complex" (PiRC) with seven key bacteria.
  • The research found that the microbiome varies by site, with healthy areas resembling healthy implants, and highlighted Fusobacterium nucleatum as a crucial player in mucositis, demonstrating the potential of microbiome-based machine learning for diagnosing and understanding these conditions.
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Introduction: Trachoma is one of the 20 neglected tropical diseases and a serious public health problem in Ethiopia. To reach the WHO elimination target by 2020, SAFE (Surgery, Antibiotics, Facial cleanliness, Environmental improvement) strategy has been implemented in the Southern Nations, Nationalities, and Peoples' Region (SNNPRs), Ethiopia. Scarce evidence exists regarding recent progress in achieving elimination of active trachoma (< 5%) and how well the SAFE strategy implemented.

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  • Eubacterium rectale is a common gut bacterium with limited understanding of its diversity and genetics, prompting this study to conduct large-scale genome investigations.
  • Researchers analyzed over 6,500 gut metagenomes to reconstruct over 1,300 high-quality genomes of E. rectale, revealing a new African subspecies and confirming its absence in closely related non-human primates.
  • The study offers insights into the population structure and ecology of E. rectale, emphasizing the value of shotgun metagenomes for microbiota genomics compared to traditional isolate sequencing.
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Microbial genomes are available at an ever-increasing pace, as cultivation and sequencing become cheaper and obtaining metagenome-assembled genomes (MAGs) becomes more effective. Phylogenetic placement methods to contextualize hundreds of thousands of genomes must thus be efficiently scalable and sensitive from closely related strains to divergent phyla. We present PhyloPhlAn 3.

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