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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 -
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 -
International Journal of Dental Hygiene Feb 2023This review aimed to assess the impact of mouthwashes on the composition of the human oral microbiome. (Review)
Review
OBJECTIVES
This review aimed to assess the impact of mouthwashes on the composition of the human oral microbiome.
METHOD
An electronic search algorithm was adapted to MEDLINE-PubMed, Scopus, Embase and ISI Web of Science, and reference lists of relevant sources were manually searched. Inclusion criteria were controlled clinical trials published in English whose population were adult individuals who rinse with antimicrobial mouthwashes and that analysed changes in the oral microbiome by metataxonomy, metagenomics or phylogenetic microarray. Identified studies were screened and assessed following the PRISMA guidelines, and results were compiled into qualitative synthesis of the evidence.
RESULTS
Five controlled clinical studies were included. These studies found associations between the daily use of mouthwashes and changes in the oral microbiome, but the nature of the effect varied according to the mouthwash. Chlorhexidine (CHX) rinses lowered microbial diversity. While 7-day use of CHX led to increases in the abundance of Neisseria, Streptococcus and Granulicatella and a decrease in the abundance of Actinomyces, its prolonged use led to widespread reductions in several genera and species. Cetylpyridinium chloride-containing mouthwashes specifically lowered the abundance of gingivitis-associated genera. In contrast, N-acetyl cysteine-based mouthwashes did not promote changes in the oral microbiome.
CONCLUSIONS
Despite substantial heterogeneity, we found evidence to support the hypothesis that CHX and CPC mouthwashes promote changes in oral microbial structure and/or reductions in community diversity that favour the resolution of dysbiosis. However, future large population-based studies of adequate duration are needed to fully understand the extent to which antimicrobial mouthwashes modulate the microbiome.
Topics: Adult; Humans; Anti-Infective Agents; Anti-Infective Agents, Local; Chlorhexidine; Dental Plaque; Microbiota; Mouthwashes; Phylogeny; Controlled Clinical Trials as Topic
PubMed: 35946140
DOI: 10.1111/idh.12617 -
Biological Research For Nursing Jan 2020Maternal obesity is a well-known risk factor for significant obstetric and neonatal complications. The influence of the gastrointestinal microbiome in the setting of...
BACKGROUND
Maternal obesity is a well-known risk factor for significant obstetric and neonatal complications. The influence of the gastrointestinal microbiome in the setting of maternal obesity during pregnancy is less understood. The purpose of this systematic review is to synthesize the literature on the relationships between maternal obesity and excessive gestational weight gain (EGWG) and the composition of maternal and child gastrointestinal microbiomes.
METHOD
We searched CINHAL, OVID Medline, Web of Science, and PubMed for relevant literature using medical subject heading terms related to obesity, pregnancy, and the gastrointestinal microbiome. We assessed 249 articles for potential inclusion using the preferred reporting items for systematic review and meta-analyses framework and deemed 11 articles as relevant for this review.
RESULTS
Maternal obesity was associated with significant microbial changes in both maternal and infant fecal microbiome biospecimens including increases in , , and the phyla and decreases in . However, inconsistencies in uniform taxonomic results across all studies mean that evidence of specific microbial associations with obesity and EGWG is inconclusive.
CONCLUSION
Our findings suggest that both maternal and child gastrointestinal microbiome composition is altered in the setting of maternal obesity and EGWG during pregnancy. Future microbiome studies should concentrate on the investigation of metagenomic sequencing to elucidate microbial function rather than solely taxonomic composition. More diverse populations of mothers should be sampled to address health disparities and adverse outcomes of underrepresented populations. Finally, analytic pipelines should be standardized across studies to aid in reproducibility.
Topics: Body Mass Index; Child; Female; Gastrointestinal Microbiome; Gestational Weight Gain; Humans; Infant; Obesity, Maternal; Pediatric Obesity; Pregnancy
PubMed: 31597472
DOI: 10.1177/1099800419880615 -
Frontiers in Bioengineering and... 2021Global environmental contamination with a complex mixture of xenobiotics has become a major environmental issue worldwide. Many xenobiotic compounds severely impact the...
Global environmental contamination with a complex mixture of xenobiotics has become a major environmental issue worldwide. Many xenobiotic compounds severely impact the environment due to their high toxicity, prolonged persistence, and limited biodegradability. Microbial-assisted degradation of xenobiotic compounds is considered to be the most effective and beneficial approach. Microorganisms have remarkable catabolic potential, with genes, enzymes, and degradation pathways implicated in the process of biodegradation. A number of microbes, including , and , have been isolated and characterized, and have shown exceptional biodegradation potential for a variety of xenobiotic contaminants from soil/water environments. Microorganisms potentially utilize xenobiotic contaminants as carbon or nitrogen sources to sustain their growth and metabolic activities. Diverse microbial populations survive in harsh contaminated environments, exhibiting a significant biodegradation potential to degrade and transform pollutants. However, the study of such microbial populations requires a more advanced and multifaceted approach. Currently, multiple advanced approaches, including metagenomics, proteomics, transcriptomics, and metabolomics, are successfully employed for the characterization of pollutant-degrading microorganisms, their metabolic machinery, novel proteins, and catabolic genes involved in the degradation process. These technologies are highly sophisticated, and efficient for obtaining information about the genetic diversity and community structures of microorganisms. Advanced molecular technologies used for the characterization of complex microbial communities give an in-depth understanding of their structural and functional aspects, and help to resolve issues related to the biodegradation potential of microorganisms. This review article discusses the biodegradation potential of microorganisms and provides insights into recent advances and omics approaches employed for the specific characterization of xenobiotic-degrading microorganisms from contaminated environments.
PubMed: 33644024
DOI: 10.3389/fbioe.2021.632059 -
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 -
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 -
Oral Diseases Jul 2021This systematic review was to evaluate the change of oral microbiome based on next-generation sequencing (NGS)-metagenomic analysis following periodontal interventions... (Review)
Review
OBJECTIVES
This systematic review was to evaluate the change of oral microbiome based on next-generation sequencing (NGS)-metagenomic analysis following periodontal interventions among systematically healthy subjects.
MATERIALS AND METHODS
A structured search strategy consisting of "metagenomics" and "oral diseases" was applied to PubMed, EMBASE, and Web of Science to identify effective papers. The included studies were original studies published in English, using metagenomic approach to analyze the effectiveness of periodontal intervention on oral microbiome among systematically healthy human subjects with periodontitis.
RESULTS
A total of 12 papers were included in this review. Due to the heterogeneity of selected study, quantitative analysis was not performed. The findings as to how alpha diversity changed after interventions were not consistent across studies. Six studies illustrated clear separation of microbial composition between dental plaque samples collected before and after intervention using principal coordinates/component analysis. The most commonly detected genera before intervention were Porphyromonas, Treponema, Tannerella, and Prevotella, while Streptococcus and Actinomyces usually increased and became the dominant genera after intervention. Correlation network analysis revealed that after intervention, the topology of network was different compared to the corresponding pre-interventional samples.
CONCLUSION
Existing evidence of metagenomic studies depicts a complex change in oral microbiome after periodontal intervention.
Topics: High-Throughput Nucleotide Sequencing; Humans; Metagenome; Metagenomics; Microbiota; Periodontitis
PubMed: 32390250
DOI: 10.1111/odi.13405