All of humans and other mammalian species are colonized by some types of microorganisms such as bacteria, archaea, unicellular eukaryotes like fungi and protozoa, multicellular eukaryotes like helminths, and viruses, which in whole are called microbiota. These microorganisms have multiple different types of interaction with each other. A plethora of evidence suggests that they can regulate immune and digestive systems and also play roles in various diseases, such as mental, cardiovascular, metabolic and some skin diseases. In addition, they take-part in some current health problems like diabetes mellitus, obesity, cancers and infections. Viral infection is one of the most common and problematic health care issues, particularly in recent years that pandemics like SARS and COVID-19 caused a lot of financial and physical damage to the world. There are plenty of articles investigating the interaction between microbiota and infectious diseases. We focused on stimulatory to suppressive effects of microbiota on viral infections, hoping to find a solution to overcome this current pandemic. Then we reviewed mechanistically the effects of both microbiota and probiotics on most of the viruses. But unlike previous studies which concentrated on intestinal microbiota and infection, our focus is on respiratory system's microbiota and respiratory viral infection, bearing in mind that respiratory system is a proper entry site and residence for viruses, and whereby infection, can lead to asymptomatic, mild, self-limiting, severe or even fatal infection. Finally, we overgeneralize the effects of microbiota on COVID-19 infection. In addition, we reviewed the articles about effects of the microbiota on coronaviruses and suggest some new therapeutic measures.
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http://dx.doi.org/10.1186/s12934-020-01483-1 | DOI Listing |
Pediatr Res
January 2025
Heart Center, Women and Children's Hospital, Qingdao University, Qingdao, China.
Background: Despite prior observational studies suggesting a link between gut microbiota to Kawasaki disease (KD), these findings remain debated. This study aimed to assess the association between gut microbiota and KD on a genetic level using a two-sample Mendelian randomization (MR) analysis.
Methods: This two-sample MR analysis utilized summary statistics from the largest genome-wide association study meta-analysis on gut microbiota conducted by the MiBioGen consortium.
Sci Rep
January 2025
Department of Biochemistry, College of Science, King Saud University, P.O.Box 2455, Riyadh, 11451, Saudi Arabia.
Nano-biochar considers a versatile and valuable sorbent to enhance plant productivity by improving soil environment and emerged as a novel solution for environmental remediation and sustainable agriculture in modern era. In this study, roles of foliar applied nanobiochar colloidal solution (NBS) on salt stressed tomato plants were investigated. For this purpose, NBS was applied (0%, 1% 3% and 5%) on two groups of plants (control 0 mM and salt stress 60 mM).
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January 2025
Institute of Technology and Life Sciences-National Research Institute, Falenty, 3 Hrabska Avenue, 05-090, Raszyn, Poland.
Plant growth-promoting bacteria (PGPB) are considered an effective eco-friendly biostimulator. However, relatively few studies have examined how PGPB affect the native bacterial community of major crops. Thus, this study investigates the impact of a PGPB consortium, comprising Pseudomonas sp.
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January 2025
Department of Gastroenterology and Hepatology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
There are limited studies on the improvement of leaky gut with minor inflammation associated with various diseases. To explore the therapeutic potential of Lactiplantibacillus plantarum 22 A-3, a member of the Lactobacillus species, in addressing a leaky gut. Lactiplantibacillus plantarum 22 A-3 was administered to a leaky gut mice model with low dextran sulfate sodium concentrations.
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January 2025
Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center-University of Freiburg, Freiburg, Germany.
The characteristics of data produced by omics technologies are pivotal, as they critically influence the feasibility and effectiveness of computational methods applied in downstream analyses, such as data harmonization and differential abundance analyses. Furthermore, variability in these data characteristics across datasets plays a crucial role, leading to diverging outcomes in benchmarking studies, which are essential for guiding the selection of appropriate analysis methods in all omics fields. Additionally, downstream analysis tools are often developed and applied within specific omics communities due to the presumed differences in data characteristics attributed to each omics technology.
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