scholarly journals Microbial profiling of wound pathogens in isolates from an Egyptian hospital using a microarray chip

Author(s):  
El-Sokkary Mohamed Mohamed Adel
2021 ◽  
Vol 35 (1) ◽  
pp. 496-503
Author(s):  
Yonghong Li ◽  
Jia Wang ◽  
Mengge Wang ◽  
Yongshun Gao ◽  
Cheng-Yun Jin ◽  
...  

2019 ◽  
Vol 536 ◽  
pp. 53-61 ◽  
Author(s):  
Ting Fan ◽  
Qiong Wang ◽  
Ning Hu ◽  
Yanjian Liao ◽  
Xi Chen ◽  
...  

2018 ◽  
Vol 7 (2) ◽  
pp. e00523 ◽  
Author(s):  
Bianca C. A. Cabral ◽  
Luísa Hoffmann ◽  
Bruce Budowle ◽  
Turán P. Ürményi ◽  
Rodrigo S. Moura-Neto ◽  
...  

2020 ◽  
Author(s):  
Chan Wang ◽  
Jiyuan Hu ◽  
Martin J. Blaser ◽  
Huilin Li

AbstractMotivationThe human microbiome is inherently dynamic and its dynamic nature plays a critical role in maintaining health and driving disease. With an increasing number of longitudinal microbiome studies, scientists are eager to learn the comprehensive characterization of microbial dynamics and their implications to the health and disease-related phenotypes. However, due to the challenging structure of longitudinal microbiome data, few analytic methods are available to characterize the microbial dynamics over time.ResultsWe propose a microbial trend analysis (MTA) framework for the high-dimensional and phylogenetically-based longitudinal microbiome data. In particular, MTA can perform three tasks: 1) capture the common microbial dynamic trends for a group of subjects on the community level and identify the dominant taxa; 2) examine whether or not the microbial overall dynamic trends are significantly different in groups; 3) classify an individual subject based on its longitudinal microbial profiling. Our extensive simulations demonstrate that the proposed MTA framework is robust and powerful in hypothesis testing, taxon identification, and subject classification. Our real data analyses further illustrate the utility of MTA through a longitudinal study in mice.ConclusionsThe proposed MTA framework is an attractive and effective tool in investigating dynamic microbial pattern from longitudinal microbiome studies.


2021 ◽  
Vol 11 ◽  
Author(s):  
Ashraf Z. Badros ◽  
Mariam Meddeb ◽  
Dianna Weikel ◽  
Sunita Philip ◽  
Todd Milliron ◽  
...  

PurposeDefine incidence and risk factors of osteonecrosis of the jaw (ONJ) and explore oral microbial signatures and host immune response as reflected by cytokine changes in saliva and serum in multiple myeloma (MM) patients on bisphosphate (BP) therapy.Patients and MethodsA single center observational prospective study of MM patients (n = 110) on >2 years of BP, none had ONJ at enrollment. Patients were followed every 3 months for 18 months with clinical/dental examination and serial measurements of inflammatory cytokines, bone turnover markers, and angiogenic growth factors. Oral microbiota was characterized by sequencing of 16S rRNA gene from saliva.ResultsOver the study period 14 patients (13%) developed BRONJ, at a median of 5.7 years (95% CI: 1.9–12.0) from MM diagnosis. Chronic periodontal disease was the main clinically observed risk factor. Oral microbial profiling revealed lower bacterial richness/diversity in BRONJ. Streptococcus intermedius, S. mutans, and S. perioris were abundant in controls; S. sonstellatus and S anginosus were prevalent in BRONJ. In the saliva, at baseline patients who developed BRONJ had higher levels of MIP-1β; TNF-α and IL-6 compared to those without BRONJ, cytokine profile consistent with M-1 macrophage activation. In the serum, patients with BRONJ have significantly lower levels of TGF beta and VEGF over the study period.ConclusionPeriodontal disease associated with low microbial diversity and predominance of invasive species with a proinflammatory cytokine profile leading to tissue damage and alteration of immunity seems to be the main culprit in pathogenesis of BRONJ.


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