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Metabolism: Clinical and Experimental Aug 2017Human gut microbiome is defined as the gene complement of the gut microbial community, measured via laboratory metagenomic techniques. It includes bacteriome, virome and... (Review)
Review
Human gut microbiome is defined as the gene complement of the gut microbial community, measured via laboratory metagenomic techniques. It includes bacteriome, virome and mycobiome, which represent, respectively, the assemblages of bacteria, viruses and fungi, living in the human gut. Gut microbiota function as a living "organ" that interacts with the gastro-intestinal environment, provides nutrients and vitamins to the organism and transduces hormonal messages, essentially influencing the main metabolic pathways, including drug metabolism. A clear association between gut, and glucose metabolism disorders has recently emerged. Medications acting on glucose absorption in the gut, or enhancing gut hormone activity are already extensively employed in the therapy of diabetes. Moreover, the gut is characterized by immune, and autonomous neuronal features, which play a critical role in maintaining glucose metabolism homeostasis. Gut microbes respond to neuroendocrine, and immune biochemical messages, affecting the health, and behavior of the host. There is vast heterogeneity in the studies included in this review, hence a meta-analysis, or a systematic review were not applicable. In this article, we attempt to reveal the interplay between human gut microbiota physiology, and hyperglycemic states, synthesizing, and interpreting findings from human studies.
Topics: Animals; Gastrointestinal Microbiome; Glucose Metabolism Disorders; Humans; Hyperglycemia; Microbiota; Mycobiome
PubMed: 28732571
DOI: 10.1016/j.metabol.2017.04.014 -
International Journal of Infectious... May 2024Early diagnosis of infectious diseases remains a challenge. This study assessed the diagnostic value of mNGS in infections and explored the effect of various factors on... (Meta-Analysis)
Meta-Analysis
OBJECTIVES
Early diagnosis of infectious diseases remains a challenge. This study assessed the diagnostic value of mNGS in infections and explored the effect of various factors on the accuracy of mNGS.
METHODS
An electronic article search of PubMed, Cochrane Library, and Embase was performed. A total of 85 papers were eligible for inclusion and analysis. Stata 12.0 was used for statistical calculation to evaluate the efficacy of mNGS for the diagnosis of infectious diseases.
RESULTS
The AUC of 85 studies was 0.88 (95%CI, 0.85-0.90). The AUC of the clinical comprehensive diagnosis and conventional test groups was 0.92 (95%CI, 0.89-0.94) and 0.82 (95%CI, 0.78-0.85), respectively. The results of subgroup analysis indicated that the PLR and NLR were 12.67 (95%CI, 6.01-26.70) and 0.05 (95%CI, 0.03-0.10), respectively, in arthrosis infections. The PLR was 24.41 (95%CI, 5.70-104.58) in central system infections and the NLR of immunocompromised patients was 0.08 (95%CI, 0.01-0.62).
CONCLUSION
mNGS demonstrated satisfactory diagnostic performance for infections, especially for bone and joint infections and central system infections. Moreover, mNGS also has a high value in the exclusion of infection in immunocompromised patients.
Topics: Humans; High-Throughput Nucleotide Sequencing; Arthritis, Infectious; Immunocompromised Host; Metagenome; Metagenomics; Sepsis; Communicable Diseases; Sensitivity and Specificity
PubMed: 38458421
DOI: 10.1016/j.ijid.2024.106996 -
The Science of the Total Environment Aug 2022The global rise in industrialization and vehicularization has led to the increasing trend in the use of different crude oil types. Among these mobil oil has major...
The global rise in industrialization and vehicularization has led to the increasing trend in the use of different crude oil types. Among these mobil oil has major application in automobiles and different machines. The combustion of mobil oil renders a non-usable form that ultimately enters the environment thereby causing problems to environmental health. The aliphatic and aromatic hydrocarbon fraction of mobil oil has serious human and environmental health hazards. These components upon interaction with soil affect its fertility and microbial diversity. The recent advancement in the omics approach viz. metagenomics, metatranscriptomics and metaproteomics has led to increased efficiency for the use of microbial based remediation strategy. Additionally, the use of biosurfactants further aids in increasing the bioavailability and thus biodegradation of crude oil constituents. The combination of more than one approach could serve as an effective tool for efficient reduction of oil contamination from diverse ecosystems. To the best of our knowledge only a few publications on mobil oil have been published in the last decade. This systematic review could be extremely useful in designing a micro-bioremediation strategy for aquatic and terrestrial ecosystems contaminated with mobil oil or petroleum hydrocarbons that is both efficient and feasible. The state-of-art information and future research directions have been discussed to address the issue efficiently.
Topics: Biodegradation, Environmental; Ecosystem; Humans; Hydrocarbons; Petroleum; Petroleum Pollution; Soil Microbiology; Soil Pollutants
PubMed: 35395309
DOI: 10.1016/j.scitotenv.2022.155083 -
Microbial Ecology Feb 2023Soil is one of the most important assets of the planet Earth, responsible for maintaining the biodiversity and managing the ecosystem services for both managed and... (Review)
Review
Soil is one of the most important assets of the planet Earth, responsible for maintaining the biodiversity and managing the ecosystem services for both managed and natural ecosystems. It encompasses large proportion of microscopic biodiversity, including prokaryotes and the microscopic eukaryotes. Soil microbiome is critical in managing the soil functions, but their activities have diminutive recognition in few systems like desert land and forest ecosystems. Soil microbiome is highly dependent on abiotic and biotic factors like pH, carbon content, soil structure, texture, and vegetation, but it can notably vary with ecosystems and the respective inhabitants. Thus, unboxing this black box is essential to comprehend the basic components adding to the soil systems and supported ecosystem services. Recent advancements in the field of molecular microbial ecology have delivered commanding tools to examine this genetic trove of soil biodiversity. Objective of this review is to provide a critical evaluation of the work on the soil microbiome, especially since the advent of the NGS techniques. The review also focuses on advances in our understanding of soil communities, their interactions, and functional capabilities along with understanding their role in maneuvering the biogeochemical cycle while underlining and tapping the unprecedented metagenomics data to infer the ecological attributes of yet undiscovered soil microbiome. This review focuses key research directions that could shape the future of basic and applied research into the soil microbiome. This review has led us to understand that it is difficult to generalize that soil microbiome plays a substantiated role in shaping the soil networks and it is indeed a vital resource for sustaining the ecosystem functioning. Exploring soil microbiome will help in unlocking their roles in various soil network. It could be resourceful in exploring and forecasting its impacts on soil systems and for dealing with alleviating problems like rapid climate change.
Topics: Ecosystem; Soil; Soil Microbiology; Biodiversity; Microbiota; Climate Change
PubMed: 35112151
DOI: 10.1007/s00248-022-01962-5 -
The Journal of Animal Ecology Apr 2020The prevalence and intensity of parasites in wild hosts varies across space and is a key determinant of infection risk in humans, domestic animals and threatened... (Meta-Analysis)
Meta-Analysis
The prevalence and intensity of parasites in wild hosts varies across space and is a key determinant of infection risk in humans, domestic animals and threatened wildlife. Because the immune system serves as the primary barrier to infection, replication and transmission following exposure, we here consider the environmental drivers of immunity. Spatial variation in parasite pressure, abiotic and biotic conditions, and anthropogenic factors can all shape immunity across spatial scales. Identifying the most important spatial drivers of immunity could help pre-empt infectious disease risks, especially in the context of how large-scale factors such as urbanization affect defence by changing environmental conditions. We provide a synthesis of how to apply macroecological approaches to the study of ecoimmunology (i.e. macroimmunology). We first review spatial factors that could generate spatial variation in defence, highlighting the need for large-scale studies that can differentiate competing environmental predictors of immunity and detailing contexts where this approach might be favoured over small-scale experimental studies. We next conduct a systematic review of the literature to assess the frequency of spatial studies and to classify them according to taxa, immune measures, spatial replication and extent, and statistical methods. We review 210 ecoimmunology studies sampling multiple host populations. We show that whereas spatial approaches are relatively common, spatial replication is generally low and unlikely to provide sufficient environmental variation or power to differentiate competing spatial hypotheses. We also highlight statistical biases in macroimmunology, in that few studies characterize and account for spatial dependence statistically, potentially affecting inferences for the relationships between environmental conditions and immune defence. We use these findings to describe tools from geostatistics and spatial modelling that can improve inference about the associations between environmental and immunological variation. In particular, we emphasize exploratory tools that can guide spatial sampling and highlight the need for greater use of mixed-effects models that account for spatial variability while also allowing researchers to account for both individual- and habitat-level covariates. We finally discuss future research priorities for macroimmunology, including focusing on latitudinal gradients, range expansions and urbanization as being especially amenable to large-scale spatial approaches. Methodologically, we highlight critical opportunities posed by assessing spatial variation in host tolerance, using metagenomics to quantify spatial variation in parasite pressure, coupling large-scale field studies with small-scale field experiments and longitudinal approaches, and applying statistical tools from macroecology and meta-analysis to identify generalizable spatial patterns. Such work will facilitate scaling ecoimmunology from individual- to habitat-level insights about the drivers of immune defence and help predict where environmental change may most alter infectious disease risk.
Topics: Animals; Animals, Wild; Humans; Parasites; Spatial Analysis
PubMed: 31856309
DOI: 10.1111/1365-2656.13166 -
Briefings in Functional Genomics May 2017High-throughput next-generation sequencing (NGS) technologies have rapidly generated a large volume of genomic data. To aid the development and evaluation of new... (Review)
Review
High-throughput next-generation sequencing (NGS) technologies have rapidly generated a large volume of genomic data. To aid the development and evaluation of new statistical models and computational methods, NGS-based simulators have been proposed to construct better experimental workflows. However, the comparative performance of these NGS simulators remains unclear. In this review, we conducted a comprehensive investigation of NGS simulators for various sequencing techniques, including DNA sequencing, metagenomic sequencing, RNA-seq, ChIP-seq and bisulfite sequencing for methylation.
Topics: Genomics; High-Throughput Nucleotide Sequencing; Sequence Analysis, DNA; Sequence Analysis, RNA
PubMed: 27069250
DOI: 10.1093/bfgp/elw012 -
Modulation of the skin and gut microbiome by psoriasis treatment: a comprehensive systematic review.Archives of Dermatological Research Jun 2024The microbiome is intricately linked to the development of psoriasis, serving as both a potential cause and consequence of the psoriatic process. In recent years, there... (Review)
Review
The microbiome is intricately linked to the development of psoriasis, serving as both a potential cause and consequence of the psoriatic process. In recent years, there has been growing interest among psoriasis researchers in exploring how psoriasis treatments affect the skin and gut microbiome. However, a comprehensive evaluation of the impact of modern treatment approaches on the microbiome has yet to be conducted. In this systematic review, we analyze studies investigating alterations in the skin and gut microbiome resulting from psoriasis treatment, aiming to understand how current therapies influence the role of the microbiome in psoriasis development. The systematic review was performed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. PubMed and Scopus databases were searched for eligible studies from the inception dates until July 5, 2023. Study selection, data extraction, and risk of bias assessment were carried out by three overlapping pairs of reviewers, resolving any disagreements through consensus. Our analysis of various treatments, including biologics, conventional medications, phototherapy, and probiotics, reveals significant shifts in microbial diversity and abundance. Importantly, favorable treatment outcomes are associated with microbiota alterations that approach those observed in healthy individuals. While the studies reviewed exhibit varying degrees of bias, underscoring the need for further research, this review supports the potential of microbiome modulation as both a preventive and therapeutic strategy for psoriasis patients. The findings underscore the importance of personalized therapeutic approaches, recognizing the profound impact of treatment on the microbiome. They also highlight the promise of probiotics, prebiotics, and dietary interventions in psoriasis management.
Topics: Psoriasis; Humans; Gastrointestinal Microbiome; Skin; Probiotics; Phototherapy; Biological Products; Treatment Outcome; Dermatologic Agents
PubMed: 38850443
DOI: 10.1007/s00403-024-03024-x -
International Journal of Environmental... Jul 2021The past decade has witnessed a surge in epidemiological studies that have explored the relationship between the oral microbiome and oral cancer. Owing to the diversity... (Review)
Review
The past decade has witnessed a surge in epidemiological studies that have explored the relationship between the oral microbiome and oral cancer. Owing to the diversity of the published data, a comprehensive systematic overview of the currently available evidence is critical. This review summarises the current evidence on the metagenomic studies on the oral microbiome in oral cancer. A systematic search was conducted in Medline and Embase databases to identify original studies examining the differences in the oral microbiome of oral cancer cases and controls. A total of twenty-six studies were identified that reported differences in microbial abundance between oral squamous cell carcinoma (OSCC) and controls. Although almost all the studies identified microbial dysbiosis to be associated with oral cancer, the detailed qualitative analysis did not reveal the presence/abundance of any individual bacteria or a consortium to be consistently enriched in OSCC samples across the studies. Interestingly, few studies reported a surge of periodontopathogenic taxa, especially , whereas others demonstrated a depletion of commensal taxa . Considerable heterogeneity could be identified in the parameters used for designing the studies as well as reporting the microbial data. If microbiome data needs to be translated in the future, to complement the clinical parameters for diagnosis and prognosis of oral cancer, further studies with the integration of clinical variables, adequate statistical power, reproducible methods, and models are required.
Topics: Carcinoma, Squamous Cell; Head and Neck Neoplasms; Humans; Metagenomics; Microbiota; Mouth Neoplasms; Squamous Cell Carcinoma of Head and Neck
PubMed: 34299675
DOI: 10.3390/ijerph18147224 -
Environmental Microbiology Dec 2021Risk assessment is critical for identifying target concentrations of antibiotic resistant pathogens necessary for mitigating potential harmful exposures associated with... (Review)
Review
Risk assessment is critical for identifying target concentrations of antibiotic resistant pathogens necessary for mitigating potential harmful exposures associated with water reuse. However, there is currently limited available data characterizing the concentrations of antibiotic resistant bacteria (ARB) and antibiotic resistance genes (ARGs) in recycled water to support robust efforts at risk assessment. The objective of this systematic review was to identify and synthesize the existing literature documenting the presence and abundance of ARB and ARGs in recycled water. In addition, this review identifies best practices and explores monitoring targets for studying ARB and ARGs in recycled water to guide future work and identifies key research needs aimed at better supporting quantitative microbial risk assessment focused on recycled water and antibiotic resistance. Future efforts to collect data about ARB and ARG prevalence in recycled water should report concentration data per unit volume. Sample metadata should also be provided, including a description of treatment approach, a description of planned water uses (e.g., potable, irrigation), methods for conveyance to the point of use, and available physicochemical water quality data. Additional research is needed aimed at identifying recommended ARB and ARG monitoring targets and for developing approaches to incorporate metagenomic data into risk assessment.
Topics: Angiotensin Receptor Antagonists; Angiotensin-Converting Enzyme Inhibitors; Anti-Bacterial Agents; Genes, Bacterial; Risk Assessment; Wastewater
PubMed: 34632683
DOI: 10.1111/1462-2920.15804 -
Frontiers in Cellular and Infection... 2022A prosthetic joint infection (PJI) is a devastating complication following total joint arthroplasties with poor prognosis. Identifying an accurate and prompt diagnostic... (Meta-Analysis)
Meta-Analysis Review
BACKGROUND
A prosthetic joint infection (PJI) is a devastating complication following total joint arthroplasties with poor prognosis. Identifying an accurate and prompt diagnostic method is particularly important for PJI. Recently, the diagnostic value of metagenomic next-generation sequencing (mNGS) in detecting PJI has attracted much attention, while the evidence of its accuracy is quite limited. Thus, this study aimed to evaluate the accuracy of mNGS for the diagnosis of PJI.
METHODS
We summarized published studies to identify the potential diagnostic value of mNGS for PJI patients by searching online databases using keywords such as "prosthetic joint infection", "PJI", and "metagenomic sequencing". Ten of 380 studies with 955 patients in total were included. The included studies provided sufficient data for the completion of 2-by-2 tables. We calculated the sensitivity, specificity, and area under the SROC curve (AUC) to evaluate mNGS for PJI diagnosis.
RESULTS
We found that the pooled diagnostic sensitivity and specificity of mNGS for PJI were 0.93 (95% CI, 0.83 to 0.97) and 0.95 (95% CI, 0.92 to 0.97), respectively. Positive and negative likelihood ratios were 18.3 (95% CI, 10.9 to 30.6) and 0.07 (95% CI, 0.03 to 0.18), respectively. The area under the curve was 0.96 (95% CI, 0.93 to 0.97).
CONCLUSION
Metagenomic next-generation sequencing displays high accuracy in the diagnosis of PJI, especially for culture-negative cases.
Topics: Arthritis, Infectious; High-Throughput Nucleotide Sequencing; Humans; Metagenomics; Prosthesis-Related Infections; Sensitivity and Specificity; Synovial Fluid
PubMed: 35755833
DOI: 10.3389/fcimb.2022.875822